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last.",category:"Technology",image:"/images/blog-post-pic-17.png",date:"2025-10-02",intro:"The last mile has always been logistics' most expensive and least predictable stretch. Add electric vehicles to the mix and the problem sharpens: now every route must respect not just time and capacity, but battery range. Artificial intelligence is what turns that constraint into an advantage.",content:[{type:"paragraph",text:"For decades, last-mile delivery was planned the way it was a generation ago — dispatchers, spreadsheets, and hard-won intuition. That approach scales poorly, and it breaks entirely when you electrify the fleet. EVs introduce a moving constraint that no static plan can absorb: a vehicle's remaining range changes with load, terrain, traffic and temperature, all at once."},{type:"heading",level:2,text:"The shift from rules to learning"},{type:"paragraph",text:"Traditional routing tools rely on fixed rules: nearest-stop-first, fixed zones, manual overrides. They are fast to set up and brittle in practice. Machine-learning-driven systems instead learn from outcomes — every completed delivery, every delay, every charge cycle becomes training signal that sharpens the next decision."},{type:"list",items:["Demand forecasting that anticipates volume spikes before they hit the hub","Travel-time models trained on the city's real traffic, not generic averages","Battery-draw prediction tuned to each vehicle class and load profile","Continuous feedback that improves accuracy with every dispatch"]},{type:"heading",level:3,text:"Real-time adaptation"},{type:"paragraph",text:"The real unlock is not planning — it is replanning. When a road closes, an order is added, or a vehicle's charge drops faster than expected, an AI-driven system re-optimises in milliseconds and reroutes the affected vehicles without a human in the loop. The plan stays optimal even as reality refuses to hold still."},{type:"image",src:"/images/ev-paradox.png",alt:"Electric delivery vehicle routing visualisation",caption:"AI continuously re-evaluates range, load and traffic to keep every EV route feasible."},{type:"quote",text:"An electric fleet is only as good as the intelligence that routes it. The battery sets the limit — the algorithm decides whether you ever reach it.",cite:"Doormile Engineering"},{type:"heading",level:2,text:"What it means for operators"},{type:"paragraph",text:"For fleet operators, the payoff is concrete: fewer vehicles covering the same ground, near-zero range-related failures, and ETAs accurate enough to commit to. AI does not replace the operator — it removes the guesswork, so the operator can run a larger, cleaner, more reliable fleet with the same team."},{type:"list",ordered:!0,items:["Capture real operational data — deliveries, delays, charge cycles.","Let models learn your city's actual travel and demand patterns.","Validate every route against live battery capacity before dispatch.","Re-optimise continuously as conditions change through the day."]},{type:"paragraph",text:"The fleets pulling ahead are not the ones with the most vehicles — they are the ones with the smartest kilometre. That is the promise AI brings to last-mile EV delivery, and it is already on the road."}]},{title:"42% Less Distance: Insights from Our Hyderabad Hub",excerpt:"A detailed look at how Doormile's MileTruth routing engine delivered measurable efficiency gains — fewer vehicles, less fuel, and zero SLA misses.",category:"Case Study",image:"/images/blog-post-pic-15.png",date:"2025-09-18",intro:"Numbers settle arguments. When we deployed MileTruth™ at our Hyderabad hub, the goal was simple: prove that precision routing changes the economics of last-mile delivery. The result — a 42% reduction in total distance travelled — did exactly that.",content:[{type:"paragraph",text:"Hyderabad is a demanding test bed: dense urban cores, sprawling new suburbs, unpredictable traffic and tight delivery windows. If a routing approach works here, it works almost anywhere. We ran it side by side against the hub's existing manual-plus-rules dispatch process over a sustained period, holding order volume constant."},{type:"heading",level:2,text:"The baseline"},{type:"paragraph",text:"Before MileTruth, the hub planned routes the conventional way — zones drawn by experience, sequences set by dispatchers, adjustments made on the fly. It worked, but it left distance on the table every single day, and that distance translated directly into fuel, hours and vehicles."},{type:"list",items:["Zone-based allocation that ignored cross-zone efficiencies","Manual sequencing that couldn't evaluate every alternative","No pre-validation of ETAs against real travel times","Reactive rather than predictive handling of disruptions"]},{type:"heading",level:3,text:"What changed"},{type:"paragraph",text:"MileTruth treated the day's deliveries as one large optimisation problem rather than a set of independent zones. It evaluated routing strategies in parallel, selected the optimal plan against real constraints, and validated every ETA before dispatch. The same orders, the same city — a fundamentally tighter plan."},{type:"image",src:"/images/last-mile-approach.jpg",alt:"Hyderabad delivery hub routing analysis",caption:"Consolidating the day's deliveries into a single optimisation removed redundant cross-town travel."},{type:"heading",level:2,text:"The results"},{type:"list",items:["42% reduction in total distance travelled across the hub","37% fewer vehicles required for the same delivery volume","Zero SLA misses across the measured deployment window","Proportional drop in fuel cost and per-parcel emissions"]},{type:"quote",text:"Fewer vehicles, less fuel, zero missed SLAs — and not by working the team harder. By making a better decision before the wheels turned.",cite:"Hyderabad Hub Operations"},{type:"heading",level:3,text:"Why it generalises"},{type:"paragraph",text:"The Hyderabad gains were not a quirk of one city. The inefficiencies MileTruth removed — redundant travel, conservative sequencing, unvalidated ETAs — exist in nearly every manual operation. The engine simply makes them visible, then eliminates them. That is why the same approach now anchors deployments well beyond this hub."},{type:"paragraph",text:"A 42% cut in distance is not a rounding error — it is a structural change in what the operation costs to run. And it came from intelligence, not additional resources."}]},{title:"MileTruth™ AI — 10 Stages to Smarter Dispatch",excerpt:"From order ingestion to final route output in under 45ms — a technical walkthrough of the ten-stage pipeline at the heart of our routing engine.",category:"MileTruth",image:"/images/blog-post-pic-31.png",date:"2025-09-05",intro:"Behind every Doormile dispatch is a pipeline that turns raw orders into a validated, optimal route in under 45 milliseconds. This is how MileTruth™ does it — ten stages, each one removing a source of error before the next begins.",content:[{type:"paragraph",text:"Speed and correctness are usually a trade-off. MileTruth is engineered to deliver both: a routing decision fast enough to feel instant, yet rigorous enough to commit a fleet to. The secret is a staged pipeline where each step has a single responsibility and hands clean, validated data to the next."},{type:"heading",level:2,text:"The ten stages"},{type:"list",ordered:!0,items:["Ingestion — orders, constraints and fleet state are normalised on arrival.","Validation — addresses, time windows and capacities are checked and geocoded.","Demand modelling — volume and service-time estimates are attached to each stop.","Travel-time estimation — real-world, time-of-day travel matrices are built.","Constraint assembly — capacity, range, windows and rules are encoded.","Strategy generation — multiple routing universes are explored in parallel.","Optimisation — the solver searches for the minimum-cost feasible plan.","Battery / range validation — EV routes are checked against real charge capacity.","ETA pre-validation — promised times are verified before any commitment.","Output — the final, validated route is emitted to dispatch."]},{type:"heading",level:3,text:"Why staging matters"},{type:"paragraph",text:"Collapsing these steps into one monolithic calculation is how most tools accumulate hidden errors. By isolating each concern, MileTruth catches a bad address before it reaches the solver, and an infeasible battery plan before it reaches a rider. Each stage is independently testable, observable and fast."},{type:"image",src:"/images/blog-post-pic-31.png",alt:"MileTruth routing pipeline diagram",caption:"Ten focused stages turn raw orders into a validated route in well under 45 milliseconds."},{type:"quote",text:"Each stage exists to delete a category of mistake. By the time a route reaches dispatch, the questionable decisions have already been ruled out.",cite:"MileTruth Engineering"},{type:"heading",level:2,text:"Parallel strategy universes"},{type:"paragraph",text:"Stage six is where MileTruth diverges from conventional routers. Rather than committing to one heuristic, it generates several distinct routing strategies simultaneously — each a complete candidate plan — and lets the optimiser select the best. Powered by a mathematical solver, it evaluates trade-offs no dispatcher could hold in their head."},{type:"list",items:["Multiple candidate plans evaluated, not a single best guess","Mathematical optimisation instead of fixed heuristics","Range and ETA validated inside the loop, not bolted on after","Sub-45ms output that keeps dispatch genuinely real-time"]},{type:"paragraph",text:"Ten stages, one outcome: a route you can trust enough to commit a fleet to — calculated, validated, and delivered before a dispatcher could finish reading the order list."}]},{title:"The EV Paradox: Solving Range Anxiety for Urban Fleets",excerpt:"Electric vehicles promise sustainability, but battery constraints introduce a new routing challenge. Here's how MileTruth™ AI solves it before dispatch.",category:"EV Fleet",image:"/images/ev-paradox.png",date:"2025-08-21",intro:"Electric fleets promise cleaner cities and lower running costs — but they trade one problem for another. Range becomes a hard constraint on every route, and range anxiety becomes an operational risk. Solving it before dispatch is the whole game."},{title:"Why Mathematical Precision Beats Heuristics in Routing",excerpt:"Most routing tools guess. We calculate. Powered by Google OR-Tools, MileTruth evaluates six parallel strategy universes to select the optimal route every time.",category:"Technology",image:"/images/blog-post-pic-14.jpeg",date:"2025-08-07",intro:"Heuristics are fast to build and easy to trust — until they quietly cost you a vehicle a day. Mathematical optimisation asks more of the engine and gives more back: provably better routes, every dispatch, at scale."},{title:"Fleet Reduction Without Compromising Delivery Volume",excerpt:"Deploying 37% fewer vehicles while handling the same order volumes isn't a trade-off — it's the result of smarter routing intelligence applied at every dispatch.",category:"Fleet Management",image:"/images/blog-post-pic-8.jpeg",date:"2025-07-24",intro:"Cutting your fleet usually means cutting capacity — unless the kilometres you remove were never necessary in the first place. Smarter routing reclaims that wasted distance and turns it into headroom."},{title:"Building a Greener City: The Future of Urban Logistics",excerpt:"Cities are demanding cleaner delivery. We explore how AI-powered EV fleets and optimised routing create a path to zero-emission last-mile logistics at city scale.",category:"Sustainability",image:"/images/blog-post-pic-6.jpeg",date:"2025-07-10",intro:"Zero-emission delivery is no longer a marketing line — it is becoming a regulatory expectation. The path there runs through two changes at once: electrifying the fleet, and routing it intelligently enough to make electrification viable."},{title:"How Doormile Maintains 99.9% SLA Compliance at Scale",excerpt:"Hitting SLA targets 99.9% of the time isn't luck — it's the product of ETA pre-validation, real-time rebalancing, and a routing engine built with delivery reliability as its first constraint.",category:"Operations",image:"/images/last-mile-approach.jpg",date:"2025-06-26",intro:"An SLA you hit 99.9% of the time is not an average you got lucky on — it is a system designed so that missing is the exception, not the risk. Reliability, it turns out, is an engineering decision made long before dispatch."},{title:"Battery Simulation: The Secret to EV Route Pre-Validation",excerpt:"Before a single rider leaves the hub, MileTruth™ simulates every route against real charge capacity — eliminating mid-route failures and protecting your fulfillment rate.",category:"EV Fleet",image:"/images/blog-post-pic-3.jpeg",date:"2025-06-12",intro:"A stranded EV is not just a late delivery — it is a vehicle out of service, a customer let down, and a recovery cost. Simulating the route against real charge capacity before dispatch is how you make sure it never happens."}].map(e=>{var t;return{slug:e.title.toLowerCase().replace(/™/g,"").replace(/&/g," and ").replace(/[^a-z0-9]+/g,"-").replace(/^-+|-+$/g,""),title:e.title,excerpt:e.excerpt,category:e.category,image:e.image,date:e.date,author:"Doormile Team",intro:e.intro,content:e.content??(t={title:e.title,category:e.category,image:e.image},[{type:"paragraph",text:`In last-mile logistics, the difference between a good day and a missed SLA is rarely a single dramatic failure — it is the quiet accumulation of small inefficiencies. ${t.title} looks at how Doormile turns those margins into measurable advantage, and why a precision-first approach consistently outperforms guesswork on the road.`},{type:"heading",level:2,text:"Why this matters for modern fleets"},{type:"paragraph",text:"Every additional kilometre carries cost: fuel or charge, rider hours, vehicle wear, and the risk of a late delivery. When routing decisions are made on intuition or static rules, those costs compound across hundreds of stops. Treating the route as a solvable optimisation problem — not a best guess — is what separates scalable operations from ones that simply add more vehicles."},{type:"list",items:["Fewer vehicles deployed for the same delivery volume","Lower cost-per-drop through tighter, smarter sequencing","Predictable ETAs that protect customer trust and SLA targets","A cleaner, lower-emission footprint per parcel delivered"]},{type:"heading",level:3,text:"From data to decision"},{type:"paragraph",text:"Doormile's MileTruth™ engine ingests orders, constraints and live conditions, then evaluates the routing problem across parallel strategy universes before committing to a plan. The result is a dispatch decision grounded in mathematics rather than heuristics — validated before a single rider leaves the hub."},{type:"image",src:t.image,alt:t.title,caption:`${t.category} — operational intelligence applied at the point of dispatch.`},{type:"quote",text:"We don't guess the route. We calculate it — and we prove it works before the wheels start turning.",cite:"Doormile Operations"},{type:"heading",level:2,text:"Putting it into practice"},{type:"paragraph",text:"The teams that benefit most treat routing intelligence as core infrastructure, not an afterthought. Start by measuring your current cost-per-drop and SLA adherence, then let a precision engine reveal where distance, time and capacity are being lost. 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They are the ones removing wasted distance, planning charging properly, and giving riders routes they can complete on time."}]},{slug:"42-less-distance-insights-from-our-hyderabad-hub",title:"42% Less Distance: Insights from Our Hyderabad Hub",excerpt:"A practical look at how one Hyderabad hub reduced distance, used fewer vehicles, and protected delivery windows with better route planning.",category:"Case Study",image:"/images/blog-post-pic-15.png",date:"2025-09-18",intro:"Numbers settle arguments. At our Hyderabad hub, the goal was simple: reduce avoidable distance without missing customer commitments. The result was a 42% reduction in total distance travelled.",content:[{type:"paragraph",text:"Hyderabad is not an easy city for delivery planning. Dense commercial areas, fast-growing suburbs, flyover work, narrow service lanes, apartment security checks, and sudden traffic build-up can all change the day."},{type:"heading",level:2,text:"The baseline"},{type:"paragraph",text:"Before MileTruth, the hub planned routes in the usual way. Zones were drawn from experience, dispatchers sequenced stops manually, and riders adjusted on the road when something changed."},{type:"paragraph",text:"That process worked, but it carried hidden costs. Two riders might cross the same area in the same hour. A vehicle might take a longer loop to avoid one late stop. A dispatcher might hold back an order because the best vehicle was not obvious in the moment."},{type:"list",items:["Zone-based allocation that missed nearby cross-zone drops","Manual stop sequencing during busy dispatch windows","ETAs checked after routing instead of before dispatch","Traffic and delay handling that depended on phone calls from riders"]},{type:"heading",level:3,text:"What changed"},{type:"paragraph",text:"The main change was treating the day's orders as one connected plan instead of separate zone lists. The route plan considered distance, rider capacity, delivery windows, traffic, and vehicle availability together."},{type:"paragraph",text:"During peak traffic hours in Hyderabad, some vehicles were arriving 20 to 30 minutes later than planned. By adjusting routes based on live traffic and battery levels, we reduced missed delivery windows and improved on-time performance."},{type:"image",src:"/images/last-mile-approach.jpg",alt:"Hyderabad delivery hub routing analysis",caption:"Planning the day's deliveries together removed repeated cross-town travel."},{type:"heading",level:2,text:"The results"},{type:"list",items:["42% reduction in total distance travelled across the hub","37% fewer vehicles required for the same delivery volume","No SLA misses during the measured deployment window","Lower fuel use and fewer unnecessary kilometres per parcel"]},{type:"quote",text:"The improvement did not come from asking riders to work harder. It came from giving the team a better route plan before the vehicles left.",cite:"Hyderabad Hub Operations"},{type:"heading",level:3,text:"Why this applies beyond one hub"},{type:"paragraph",text:"The Hyderabad result was not a one-city exception. Most hubs deal with the same issues: overlapping routes, conservative sequencing, traffic surprises, charging constraints, and last-minute order changes."},{type:"paragraph",text:"A 42% cut in distance changes the cost of running the operation. It also gives dispatchers more breathing room when the day gets messy."}]},{slug:"miletruth-ai-10-stages-to-smarter-dispatch",title:"MileTruth™: 10 Stages to Smarter Dispatch",excerpt:"From order intake to final route output, here is how a dispatch plan is checked before riders leave the hub.",category:"MileTruth",image:"/images/blog-post-pic-31.png",date:"2025-09-05",intro:"Behind every Doormile dispatch is a step-by-step route planning process. Each stage removes a common source of error before the plan reaches the rider.",content:[{type:"paragraph",text:"A dispatch plan has to be fast, but it also has to be usable. A quick route that ignores a bad address, low battery, or tight delivery window creates problems later in the day."},{type:"heading",level:2,text:"The ten stages"},{type:"list",ordered:!0,items:["Order intake: new orders, rider availability, and vehicle status are collected.","Address check: delivery points, time windows, and service notes are verified.","Stop planning: each stop gets an expected service time and delivery priority.","Travel-time check: routes are compared against time-of-day traffic.","Constraint check: capacity, shift time, customer windows, and range are applied.","Route options: several possible plans are built for the same order set.","Plan selection: the lowest-cost workable route plan is selected.","Battery check: EV routes are checked against real charge capacity.","ETA check: promised delivery times are verified before dispatch.","Dispatch output: the final route is sent to the operations team."]},{type:"heading",level:3,text:"Why staging matters"},{type:"paragraph",text:"When everything is checked in one step, small errors slip through. A wrong pin, a missing apartment note, or a low battery warning can reach the rider and become a customer issue."},{type:"image",src:"/images/blog-post-pic-31.png",alt:"MileTruth routing pipeline diagram",caption:"A staged dispatch process catches address, range, and ETA issues before riders leave."},{type:"quote",text:"Each stage should remove one kind of mistake. By dispatch time, the route should already be practical.",cite:"MileTruth Engineering"},{type:"heading",level:2,text:"Comparing route options"},{type:"paragraph",text:"The useful part is not only building one route. It is comparing a few workable route options before choosing the plan. One option may save distance, another may protect a tight delivery window, and another may keep an EV closer to a charger."},{type:"list",items:["Several route plans checked before dispatch","Distance, time windows, capacity, and range considered together","Range and ETA checked before the route reaches the rider","Fast output that still leaves room for dispatcher review"]},{type:"paragraph",text:"The goal is simple: give the dispatch team a route plan they can trust before the first vehicle leaves the hub."}]},{slug:"the-ev-paradox-solving-range-anxiety-for-urban-fleets",title:"The EV Paradox: Solving Range Anxiety for Urban Fleets",excerpt:"Electric vehicles lower running costs, but battery range changes how routes must be planned before dispatch.",category:"EV Fleet",image:"/images/ev-paradox.png",date:"2025-08-21",intro:"Electric fleets can lower running costs, but range becomes a daily planning constraint. The route has to match the battery, the load, the traffic, and the return plan."},{slug:"why-mathematical-precision-beats-heuristics-in-routing",title:"Why Mathematical Precision Beats Heuristics in Routing",excerpt:"Fixed routing rules are easy to start with, but they often miss better stop sequences as order volume grows.",category:"Technology",image:"/images/blog-post-pic-14.jpeg",date:"2025-08-07",intro:"Simple routing rules are fast to set up, but they can quietly add distance every day. Better planning compares more route options before dispatch."},{slug:"fleet-reduction-without-compromising-delivery-volume",title:"Fleet Reduction Without Compromising Delivery Volume",excerpt:"Handling the same order volume with fewer vehicles starts by removing avoidable kilometres and overlapping routes.",category:"Fleet Management",image:"/images/blog-post-pic-8.jpeg",date:"2025-07-24",intro:"Cutting vehicles usually means cutting capacity unless the removed kilometres were never needed. Better route planning turns wasted distance into operating headroom."},{slug:"building-a-greener-city-the-future-of-urban-logistics",title:"Building a Greener City: The Future of Urban Logistics",excerpt:"Cities are asking for cleaner delivery. The practical challenge is planning EV routes that can meet customer windows without wasting charge.",category:"Sustainability",image:"/images/blog-post-pic-6.jpeg",date:"2025-07-10",intro:"Cleaner delivery is becoming an operating requirement, not just a brand message. It depends on EV adoption and route plans that make those vehicles practical every day."},{slug:"how-doormile-maintains-99-9-sla-compliance-at-scale",title:"How Doormile Maintains 99.9% SLA Compliance at Scale",excerpt:"High SLA performance comes from checking ETAs before dispatch, reacting early to delays, and keeping customer commitments visible throughout the day.",category:"Operations",image:"/images/last-mile-approach.jpg",date:"2025-06-26",intro:"Strong SLA performance is not luck. It comes from planning the day so late deliveries are the exception, not the expected risk."},{slug:"battery-simulation-the-secret-to-ev-route-pre-validation",title:"Battery Simulation: The Secret to EV Route Pre-Validation",excerpt:"Before a rider leaves the hub, every EV route should be checked against real charge capacity and the expected return plan.",category:"EV Fleet",image:"/images/blog-post-pic-3.jpeg",date:"2025-06-12",intro:"A stranded EV is not just a late delivery. It means a vehicle is out of service, a customer is waiting, and the hub has to arrange recovery. Range checks need to happen before dispatch."}].map(e=>{var t;return{slug:e.slug,title:e.title,excerpt:e.excerpt,category:e.category,image:e.image,date:e.date,author:"Doormile Team",intro:e.intro,content:e.content??(t={title:e.title,category:e.category,image:e.image},[{type:"paragraph",text:`In last-mile logistics, a missed SLA is rarely caused by one big failure. It usually comes from small delays adding up across a route. ${t.title} looks at how delivery teams can spot those delays early and plan around them before vehicles leave the hub.`},{type:"heading",level:2,text:"Why this matters for fleet teams"},{type:"paragraph",text:"Every extra kilometre costs money. It uses fuel or charge, adds rider time, wears down vehicles, and increases the chance of a late delivery. When routes are built from fixed zones or old habits, those costs repeat every day."},{type:"list",items:["Fewer vehicles needed for the same number of drops","Lower cost per drop through better stop sequencing","ETAs that match traffic, distance, and delivery windows","Less fuel or charge used per completed order"]},{type:"heading",level:3,text:"From orders to dispatch"},{type:"paragraph",text:"A good dispatch plan starts with the basics: order locations, promised delivery windows, rider capacity, vehicle range, and known traffic trouble spots. MileTruth™ checks those inputs before dispatch so the team is not fixing avoidable mistakes on the road."},{type:"image",src:t.image,alt:t.title,caption:`${t.category}: route planning decisions made before dispatch.`},{type:"quote",text:"A route should be checked before the rider leaves, not explained after the customer calls.",cite:"Doormile Operations"},{type:"heading",level:2,text:"Putting it into practice"},{type:"paragraph",text:"The best improvements usually start with simple measurements. Track distance per route, failed delivery windows, rider idle time, and orders moved between vehicles after dispatch. Those numbers show where the operation is leaking time."},{type:"list",ordered:!0,items:["Benchmark today's distance, fleet size, and on-time rate.","Include vehicle capacity, delivery windows, rider shifts, and battery charge.","Check routes against traffic and customer commitments before dispatch.","Compare the next dispatch cycle against the old plan."]},{type:"paragraph",text:"Better routing is not about pushing riders harder. 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n=this.getZoom()||0,o=this.getMinZoom(),s=this.getMaxZoom(),r=t.getNorthWest(),a=t.getSouthEast(),h=this.getSize().subtract(i),l=U(this.project(a,n),this.project(r,n)).getSize(),u=tB.any3d?this.options.zoomSnap:1,c=h.x/l.x,d=h.y/l.y,_=e?Math.max(c,d):Math.min(c,d);return n=this.getScaleZoom(_,n),u&&(n=u/100*Math.round(n/(u/100)),n=e?Math.ceil(n/u)*u:Math.floor(n/u)*u),Math.max(o,Math.min(s,n))},getSize:function(){return(!this._size||this._sizeChanged)&&(this._size=new D(this._container.clientWidth||0,this._container.clientHeight||0),this._sizeChanged=!1),this._size.clone()},getPixelBounds:function(t,e){var i=this._getTopLeftPoint(t,e);return new F(i,i.add(this.getSize()))},getPixelOrigin:function(){return this._checkIfLoaded(),this._pixelOrigin},getPixelWorldBounds:function(t){return this.options.crs.getProjectedBounds(void 0===t?this.getZoom():t)},getPane:function(t){return"string"==typeof t?this._panes[t]:t},getPanes:function(){return this._panes},getContainer:function(){return this._container},getZoomScale:function(t,e){var i=this.options.crs;return e=void 0===e?this._zoom:e,i.scale(t)/i.scale(e)},getScaleZoom:function(t,e){var i=this.options.crs;e=void 0===e?this._zoom:e;var n=i.zoom(t*i.scale(e));return isNaN(n)?1/0:n},project:function(t,e){return e=void 0===e?this._zoom:e,this.options.crs.latLngToPoint(K(t),e)},unproject:function(t,e){return e=void 0===e?this._zoom:e,this.options.crs.pointToLatLng(W(t),e)},layerPointToLatLng:function(t){var e=W(t).add(this.getPixelOrigin());return this.unproject(e)},latLngToLayerPoint:function(t){return this.project(K(t))._round()._subtract(this.getPixelOrigin())},wrapLatLng:function(t){return this.options.crs.wrapLatLng(K(t))},wrapLatLngBounds:function(t){return this.options.crs.wrapLatLngBounds(V(t))},distance:function(t,e){return this.options.crs.distance(K(t),K(e))},containerPointToLayerPoint:function(t){return W(t).subtract(this._getMapPanePos())},layerPointToContainerPoint:function(t){return W(t).add(this._getMapPanePos())},containerPointToLatLng:function(t){var e=this.containerPointToLayerPoint(W(t));return this.layerPointToLatLng(e)},latLngToContainerPoint:function(t){return this.layerPointToContainerPoint(this.latLngToLayerPoint(K(t)))},mouseEventToContainerPoint:function(t){return eT(t,this._container)},mouseEventToLayerPoint:function(t){return this.containerPointToLayerPoint(this.mouseEventToContainerPoint(t))},mouseEventToLatLng:function(t){return this.layerPointToLatLng(this.mouseEventToLayerPoint(t))},_initContainer:function(t){var e=this._container=t$(t);if(e){if(e._leaflet_id)throw Error("Map container is already initialized.")}else throw Error("Map container not found.");ed(e,"scroll",this._onScroll,this),this._containerId=m(e)},_initLayout:function(){var t=this._container;this._fadeAnimated=this.options.fadeAnimation&&tB.any3d,t4(t,"leaflet-container"+(tB.touch?" leaflet-touch":"")+(tB.retina?" leaflet-retina":"")+(tB.ielt9?" leaflet-oldie":"")+(tB.safari?" leaflet-safari":"")+(this._fadeAnimated?" leaflet-fade-anim":""));var e=tQ(t,"position");"absolute"!==e&&"relative"!==e&&"fixed"!==e&&"sticky"!==e&&(t.style.position="relative"),this._initPanes(),this._initControlPos&&this._initControlPos()},_initPanes:function(){var t=this._panes={};this._paneRenderers={},this._mapPane=this.createPane("mapPane",this._container),en(this._mapPane,new D(0,0)),this.createPane("tilePane"),this.createPane("overlayPane"),this.createPane("shadowPane"),this.createPane("markerPane"),this.createPane("tooltipPane"),this.createPane("popupPane"),this.options.markerZoomAnimation||(t4(t.markerPane,"leaflet-zoom-hide"),t4(t.shadowPane,"leaflet-zoom-hide"))},_resetView:function(t,e,i){en(this._mapPane,new D(0,0));var n=!this._loaded;this._loaded=!0,e=this._limitZoom(e),this.fire("viewprereset");var o=this._zoom!==e;this._moveStart(o,i)._move(t,e)._moveEnd(o),this.fire("viewreset"),n&&this.fire("load")},_moveStart:function(t,e){return t&&this.fire("zoomstart"),e||this.fire("movestart"),this},_move:function(t,e,i,n){void 0===e&&(e=this._zoom);var o=this._zoom!==e;return this._zoom=e,this._lastCenter=t,this._pixelOrigin=this._getNewPixelOrigin(t),n?i&&i.pinch&&this.fire("zoom",i):((o||i&&i.pinch)&&this.fire("zoom",i),this.fire("move",i)),this},_moveEnd:function(t){return t&&this.fire("zoomend"),this.fire("moveend")},_stop:function(){return B(this._flyToFrame),this._panAnim&&this._panAnim.stop(),this},_rawPanBy:function(t){en(this._mapPane,this._getMapPanePos().subtract(t))},_getZoomSpan:function(){return this.getMaxZoom()-this.getMinZoom()},_panInsideMaxBounds:function(){this._enforcingBounds||this.panInsideBounds(this.options.maxBounds)},_checkIfLoaded:function(){if(!this._loaded)throw Error("Set map center and zoom first.")},_initEvents:function(t){this._targets={},this._targets[m(this._container)]=this;var e=t?ep:ed;e(this._container,"click dblclick mousedown mouseup mouseover mouseout mousemove contextmenu keypress keydown keyup",this._handleDOMEvent,this),this.options.trackResize&&e(window,"resize",this._onResize,this),tB.any3d&&this.options.transform3DLimit&&(t?this.off:this.on).call(this,"moveend",this._onMoveEnd)},_onResize:function(){B(this._resizeRequest),this._resizeRequest=I(function(){this.invalidateSize({debounceMoveend:!0})},this)},_onScroll:function(){this._container.scrollTop=0,this._container.scrollLeft=0},_onMoveEnd:function(){var t=this._getMapPanePos();Math.max(Math.abs(t.x),Math.abs(t.y))>=this.options.transform3DLimit&&this._resetView(this.getCenter(),this.getZoom())},_findEventTargets:function(t,e){for(var i,n=[],o="mouseout"===e||"mouseover"===e,s=t.target||t.srcElement,r=!1;s;){if((i=this._targets[m(s)])&&("click"===e||"preclick"===e)&&this._draggableMoved(i)){r=!0;break}if(i&&i.listens(e,!0)&&(o&&!eC(s,t)||(n.push(i),o)))break;if(s===this._container)break;s=s.parentNode}return!n.length&&!r&&!o&&this.listens(e,!0)&&(n=[this]),n},_isClickDisabled:function(t){for(;t&&t!==this._container;){if(t._leaflet_disable_click)return!0;t=t.parentNode}},_handleDOMEvent:function(t){var e=t.target||t.srcElement;if(!(!this._loaded||e._leaflet_disable_events||"click"===t.type&&this._isClickDisabled(e))){var i=t.type;"mousedown"===i&&eh(e),this._fireDOMEvent(t,i)}},_mouseEvents:["click","dblclick","mouseover","mouseout","contextmenu"],_fireDOMEvent:function(t,i,n){if("click"===t.type){var o=e({},t);o.type="preclick",this._fireDOMEvent(o,o.type,n)}var s=this._findEventTargets(t,i);if(n){for(var r=[],a=0;a=Math.abs(r.x)&&1>=Math.abs(r.y)?t:this.unproject(n.add(r),e)},_limitOffset:function(t,e){if(!e)return t;var i=this.getPixelBounds(),n=new F(i.min.add(t),i.max.add(t));return t.add(this._getBoundsOffset(n,e))},_getBoundsOffset:function(t,e,i){var n=U(this.project(e.getNorthEast(),i),this.project(e.getSouthWest(),i)),o=n.min.subtract(t.min),s=n.max.subtract(t.max);return new D(this._rebound(o.x,-s.x),this._rebound(o.y,-s.y))},_rebound:function(t,e){return t+e>0?Math.round(t-e)/2:Math.max(0,Math.ceil(t))-Math.max(0,Math.floor(e))},_limitZoom:function(t){var e=this.getMinZoom(),i=this.getMaxZoom(),n=tB.any3d?this.options.zoomSnap:1;return n&&(t=Math.round(t/n)*n),Math.max(e,Math.min(i,t))},_onPanTransitionStep:function(){this.fire("move")},_onPanTransitionEnd:function(){t9(this._mapPane,"leaflet-pan-anim"),this.fire("moveend")},_tryAnimatedPan:function(t,e){var i=this._getCenterOffset(t)._trunc();return(!0===(e&&e.animate)||!!this.getSize().contains(i))&&(this.panBy(i,e),!0)},_createAnimProxy:function(){var t=this._proxy=t0("div","leaflet-proxy leaflet-zoom-animated");this._panes.mapPane.appendChild(t),this.on("zoomanim",function(t){var e=this._proxy.style[tY];ei(this._proxy,this.project(t.center,t.zoom),this.getZoomScale(t.zoom,1)),e===this._proxy.style[tY]&&this._animatingZoom&&this._onZoomTransitionEnd()},this),this.on("load moveend",this._animMoveEnd,this),this._on("unload",this._destroyAnimProxy,this)},_destroyAnimProxy:function(){t1(this._proxy),this.off("load moveend",this._animMoveEnd,this),delete this._proxy},_animMoveEnd:function(){var t=this.getCenter(),e=this.getZoom();ei(this._proxy,this.project(t,e),this.getZoomScale(e,1))},_catchTransitionEnd:function(t){this._animatingZoom&&t.propertyName.indexOf("transform")>=0&&this._onZoomTransitionEnd()},_nothingToAnimate:function(){return!this._container.getElementsByClassName("leaflet-zoom-animated").length},_tryAnimatedZoom:function(t,e,i){if(this._animatingZoom)return!0;if(i=i||{},!this._zoomAnimated||!1===i.animate||this._nothingToAnimate()||Math.abs(e-this._zoom)>this.options.zoomAnimationThreshold)return!1;var n=this.getZoomScale(e),o=this._getCenterOffset(t)._divideBy(1-1/n);return(!0===i.animate||!!this.getSize().contains(o))&&(I(function(){this._moveStart(!0,i.noMoveStart||!1)._animateZoom(t,e,!0)},this),!0)},_animateZoom:function(t,e,i,n){this._mapPane&&(i&&(this._animatingZoom=!0,this._animateToCenter=t,this._animateToZoom=e,t4(this._mapPane,"leaflet-zoom-anim")),this.fire("zoomanim",{center:t,zoom:e,noUpdate:n}),this._tempFireZoomEvent||(this._tempFireZoomEvent=this._zoom!==this._animateToZoom),this._move(this._animateToCenter,this._animateToZoom,void 0,!0),setTimeout(_(this._onZoomTransitionEnd,this),250))},_onZoomTransitionEnd:function(){this._animatingZoom&&(this._mapPane&&t9(this._mapPane,"leaflet-zoom-anim"),this._animatingZoom=!1,this._move(this._animateToCenter,this._animateToZoom,void 0,!0),this._tempFireZoomEvent&&this.fire("zoom"),delete this._tempFireZoomEvent,this.fire("move"),this._moveEnd(!0))}}),eE=R.extend({options:{position:"topright"},initialize:function(t){b(this,t)},getPosition:function(){return this.options.position},setPosition:function(t){var e=this._map;return e&&e.removeControl(this),this.options.position=t,e&&e.addControl(this),this},getContainer:function(){return this._container},addTo:function(t){this.remove(),this._map=t;var e=this._container=this.onAdd(t),i=this.getPosition(),n=t._controlCorners[i];return t4(e,"leaflet-control"),-1!==i.indexOf("bottom")?n.insertBefore(e,n.firstChild):n.appendChild(e),this._map.on("unload",this.remove,this),this},remove:function(){return this._map&&(t1(this._container),this.onRemove&&this.onRemove(this._map),this._map.off("unload",this.remove,this),this._map=null),this},_refocusOnMap:function(t){this._map&&t&&t.screenX>0&&t.screenY>0&&this._map.getContainer().focus()}}),ek=function(t){return new eE(t)};eZ.include({addControl:function(t){return t.addTo(this),this},removeControl:function(t){return t.remove(),this},_initControlPos:function(){var t=this._controlCorners={},e="leaflet-",i=this._controlContainer=t0("div",e+"control-container",this._container);function n(n,o){t[n+o]=t0("div",e+n+" "+e+o,i)}n("top","left"),n("top","right"),n("bottom","left"),n("bottom","right")},_clearControlPos:function(){for(var t in this._controlCorners)t1(this._controlCorners[t]);t1(this._controlContainer),delete this._controlCorners,delete this._controlContainer}});var eO=eE.extend({options:{collapsed:!0,position:"topright",autoZIndex:!0,hideSingleBase:!1,sortLayers:!1,sortFunction:function(t,e,i,n){return i1,this._baseLayersList.style.display=t?"":"none"),this._separator.style.display=e&&t?"":"none",this},_onLayerChange:function(t){this._handlingClick||this._update();var e=this._getLayer(m(t.target)),i=e.overlay?"add"===t.type?"overlayadd":"overlayremove":"add"===t.type?"baselayerchange":null;i&&this._map.fire(i,e)},_createRadioElement:function(t,e){var i=document.createElement("div");return i.innerHTML='",i.firstChild},_addItem:function(t){var e,i=document.createElement("label"),n=this._map.hasLayer(t.layer);t.overlay?((e=document.createElement("input")).type="checkbox",e.className="leaflet-control-layers-selector",e.defaultChecked=n):e=this._createRadioElement("leaflet-base-layers_"+m(this),n),this._layerControlInputs.push(e),e.layerId=m(t.layer),ed(e,"click",this._onInputClick,this);var o=document.createElement("span");o.innerHTML=" "+t.name;var s=document.createElement("span");return i.appendChild(s),s.appendChild(e),s.appendChild(o),(t.overlay?this._overlaysList:this._baseLayersList).appendChild(i),this._checkDisabledLayers(),i},_onInputClick:function(){if(!this._preventClick){var t,e,i=this._layerControlInputs,n=[],o=[];this._handlingClick=!0;for(var s=i.length-1;s>=0;s--)t=i[s],e=this._getLayer(t.layerId).layer,t.checked?n.push(e):t.checked||o.push(e);for(s=0;s=0;o--)t=i[o],e=this._getLayer(t.layerId).layer,t.disabled=void 0!==e.options.minZoom&&ne.options.maxZoom},_expandIfNotCollapsed:function(){return this._map&&!this.options.collapsed&&this.expand(),this},_expandSafely:function(){var t=this._section;this._preventClick=!0,ed(t,"click",eb),this.expand();var e=this;setTimeout(function(){ep(t,"click",eb),e._preventClick=!1})}}),eA=eE.extend({options:{position:"topleft",zoomInText:'',zoomInTitle:"Zoom in",zoomOutText:'',zoomOutTitle:"Zoom out"},onAdd:function(t){var e="leaflet-control-zoom",i=t0("div",e+" leaflet-bar"),n=this.options;return this._zoomInButton=this._createButton(n.zoomInText,n.zoomInTitle,e+"-in",i,this._zoomIn),this._zoomOutButton=this._createButton(n.zoomOutText,n.zoomOutTitle,e+"-out",i,this._zoomOut),this._updateDisabled(),t.on("zoomend zoomlevelschange",this._updateDisabled,this),i},onRemove:function(t){t.off("zoomend zoomlevelschange",this._updateDisabled,this)},disable:function(){return this._disabled=!0,this._updateDisabled(),this},enable:function(){return this._disabled=!1,this._updateDisabled(),this},_zoomIn:function(t){!this._disabled&&this._map._zoomthis._map.getMinZoom()&&this._map.zoomOut(this._map.options.zoomDelta*(t.shiftKey?3:1))},_createButton:function(t,e,i,n,o){var s=t0("a",i,n);return s.innerHTML=t,s.href="#",s.title=e,s.setAttribute("role","button"),s.setAttribute("aria-label",e),ew(s),ed(s,"click",eP),ed(s,"click",o,this),ed(s,"click",this._refocusOnMap,this),s},_updateDisabled:function(){var t=this._map,e="leaflet-disabled";t9(this._zoomInButton,e),t9(this._zoomOutButton,e),this._zoomInButton.setAttribute("aria-disabled","false"),this._zoomOutButton.setAttribute("aria-disabled","false"),(this._disabled||t._zoom===t.getMinZoom())&&(t4(this._zoomOutButton,e),this._zoomOutButton.setAttribute("aria-disabled","true")),(this._disabled||t._zoom===t.getMaxZoom())&&(t4(this._zoomInButton,e),this._zoomInButton.setAttribute("aria-disabled","true"))}});eZ.mergeOptions({zoomControl:!0}),eZ.addInitHook(function(){this.options.zoomControl&&(this.zoomControl=new eA,this.addControl(this.zoomControl))});var eI=eE.extend({options:{position:"bottomleft",maxWidth:100,metric:!0,imperial:!0},onAdd:function(t){var e="leaflet-control-scale",i=t0("div",e),n=this.options;return this._addScales(n,e+"-line",i),t.on(n.updateWhenIdle?"moveend":"move",this._update,this),t.whenReady(this._update,this),i},onRemove:function(t){t.off(this.options.updateWhenIdle?"moveend":"move",this._update,this)},_addScales:function(t,e,i){t.metric&&(this._mScale=t0("div",e,i)),t.imperial&&(this._iScale=t0("div",e,i))},_update:function(){var t=this._map,e=t.getSize().y/2,i=t.distance(t.containerPointToLatLng([0,e]),t.containerPointToLatLng([this.options.maxWidth,e]));this._updateScales(i)},_updateScales:function(t){this.options.metric&&t&&this._updateMetric(t),this.options.imperial&&t&&this._updateImperial(t)},_updateMetric:function(t){var e=this._getRoundNum(t);this._updateScale(this._mScale,e<1e3?e+" m":e/1e3+" km",e/t)},_updateImperial:function(t){var e,i,n,o=3.2808399*t;o>5280?(e=o/5280,i=this._getRoundNum(e),this._updateScale(this._iScale,i+" mi",i/e)):(n=this._getRoundNum(o),this._updateScale(this._iScale,n+" ft",n/o))},_updateScale:function(t,e,i){t.style.width=Math.round(this.options.maxWidth*i)+"px",t.innerHTML=e},_getRoundNum:function(t){var e=Math.pow(10,(Math.floor(t)+"").length-1),i=t/e;return e*(i=i>=10?10:i>=5?5:i>=3?3:i>=2?2:1)}}),eB=eE.extend({options:{position:"bottomright",prefix:''+(tB.inlineSvg?' ':"")+"Leaflet"},initialize:function(t){b(this,t),this._attributions={}},onAdd:function(t){for(var e in t.attributionControl=this,this._container=t0("div","leaflet-control-attribution"),ew(this._container),t._layers)t._layers[e].getAttribution&&this.addAttribution(t._layers[e].getAttribution());return this._update(),t.on("layeradd",this._addAttribution,this),this._container},onRemove:function(t){t.off("layeradd",this._addAttribution,this)},_addAttribution:function(t){t.layer.getAttribution&&(this.addAttribution(t.layer.getAttribution()),t.layer.once("remove",function(){this.removeAttribution(t.layer.getAttribution())},this))},setPrefix:function(t){return this.options.prefix=t,this._update(),this},addAttribution:function(t){return t&&(this._attributions[t]||(this._attributions[t]=0),this._attributions[t]++,this._update()),this},removeAttribution:function(t){return t&&this._attributions[t]&&(this._attributions[t]--,this._update()),this},_update:function(){if(this._map){var t=[];for(var e in this._attributions)this._attributions[e]&&t.push(e);var i=[];this.options.prefix&&i.push(this.options.prefix),t.length&&i.push(t.join(", ")),this._container.innerHTML=i.join(' ')}}});eZ.mergeOptions({attributionControl:!0}),eZ.addInitHook(function(){this.options.attributionControl&&new eB().addTo(this)}),eE.Layers=eO,eE.Zoom=eA,eE.Scale=eI,eE.Attribution=eB,ek.layers=function(t,e,i){return new eO(t,e,i)},ek.zoom=function(t){return new eA(t)},ek.scale=function(t){return new eI(t)},ek.attribution=function(t){return new eB(t)};var eR=R.extend({initialize:function(t){this._map=t},enable:function(){return this._enabled||(this._enabled=!0,this.addHooks()),this},disable:function(){return this._enabled&&(this._enabled=!1,this.removeHooks()),this},enabled:function(){return!!this._enabled}});eR.addTo=function(t,e){return t.addHandler(e,this),this};var eN=tB.touch?"touchstart mousedown":"mousedown",ej=j.extend({options:{clickTolerance:3},initialize:function(t,e,i,n){b(this,n),this._element=t,this._dragStartTarget=e||t,this._preventOutline=i},enable:function(){this._enabled||(ed(this._dragStartTarget,eN,this._onDown,this),this._enabled=!0)},disable:function(){this._enabled&&(ej._dragging===this&&this.finishDrag(!0),ep(this._dragStartTarget,eN,this._onDown,this),this._enabled=!1,this._moved=!1)},_onDown:function(t){if(!(!this._enabled||(this._moved=!1,t8(this._element,"leaflet-zoom-anim")))){if(t.touches&&1!==t.touches.length){ej._dragging===this&&this.finishDrag();return}if(!ej._dragging&&!t.shiftKey&&(1===t.which||1===t.button||t.touches)&&(ej._dragging=this,this._preventOutline&&eh(this._element),er(),i(),!this._moving)){this.fire("down");var e=t.touches?t.touches[0]:t,n=eu(this._element);this._startPoint=new D(e.clientX,e.clientY),this._startPos=eo(this._element),this._parentScale=ec(n);var o="mousedown"===t.type;ed(document,o?"mousemove":"touchmove",this._onMove,this),ed(document,o?"mouseup":"touchend touchcancel",this._onUp,this)}}},_onMove:function(t){if(this._enabled){if(t.touches&&t.touches.length>1){this._moved=!0;return}var e=t.touches&&1===t.touches.length?t.touches[0]:t,i=new D(e.clientX,e.clientY)._subtract(this._startPoint);(i.x||i.y)&&(Math.abs(i.x)+Math.abs(i.y)typeof Uint8Array?Uint8Array:Array)(i);n[0]=n[i-1]=1,function t(e,i,n,o,s){var r,a,h,l=0;for(a=o+1;a<=s-1;a++)(h=eK(e[a],e[o],e[s],!0))>l&&(r=a,l=h);l>n&&(i[r]=1,t(e,i,n,o,r),t(e,i,n,r,s))}(t,n,e,0,i-1);var o,s=[];for(o=0;oe&&(i.push(t[n]),o=n);return oe.max.x&&(i|=2),t.ye.max.y&&(i|=8),i}function eK(t,e,i,n){var o,s=e.x,r=e.y,a=i.x-s,h=i.y-r,l=a*a+h*h;return l>0&&((o=((t.x-s)*a+(t.y-r)*h)/l)>1?(s=i.x,r=i.y):o>0&&(s+=a*o,r+=h*o)),a=t.x-s,h=t.y-r,n?a*a+h*h:new D(s,r)}function eY(t){return!z(t[0])||"object"!=typeof t[0][0]&&void 0!==t[0][0]}function eJ(t){return console.warn("Deprecated use of _flat, please use L.LineUtil.isFlat instead."),eY(t)}function eX(t,e){if(!t||0===t.length)throw Error("latlngs not passed");eY(t)||(console.warn("latlngs are not flat! Only the first ring will be used"),t=t[0]);var i,n,o,s,r,a,h,l,u=K([0,0]),c=V(t);c.getNorthWest().distanceTo(c.getSouthWest())*c.getNorthEast().distanceTo(c.getNorthWest())<1700&&(u=eW(t));var d=t.length,_=[];for(i=0;in){h=(s-n)/o,l=[a.x-h*(a.x-r.x),a.y-h*(a.y-r.y)];break}var m=e.unproject(W(l));return K([m.lat+u.lat,m.lng+u.lng])}var e$={project:function(t){return new D(t.lng,t.lat)},unproject:function(t){return new G(t.y,t.x)},bounds:new F([-180,-90],[180,90])},eQ={R:6378137,R_MINOR:6356752.314245179,bounds:new F([-20037508.34279,-15496570.73972],[20037508.34279,18764656.23138]),project:function(t){var e=Math.PI/180,i=this.R,n=t.lat*e,o=this.R_MINOR/i,s=Math.sqrt(1-o*o),r=s*Math.sin(n);return n=-i*Math.log(Math.max(Math.tan(Math.PI/4-n/2)/Math.pow((1-r)/(1+r),s/2),1e-10)),new D(t.lng*e*i,n)},unproject:function(t){for(var e,i=180/Math.PI,n=this.R,o=this.R_MINOR/n,s=Math.sqrt(1-o*o),r=Math.exp(-t.y/n),a=Math.PI/2-2*Math.atan(r),h=0,l=.1;h<15&&Math.abs(l)>1e-7;h++)l=Math.PI/2-2*Math.atan(r*(e=Math.pow((1-(e=s*Math.sin(a)))/(1+e),s/2)))-a,a+=l;return new G(a*i,t.x*i/n)}},e0=e({},J,{code:"EPSG:3395",projection:eQ,transformation:Q(c=.5/(Math.PI*eQ.R),.5,-c,.5)}),e1=e({},J,{code:"EPSG:4326",projection:e$,transformation:Q(1/180,1,-1/180,.5)}),e2=e({},Y,{projection:e$,transformation:Q(1,0,-1,0),scale:function(t){return Math.pow(2,t)},zoom:function(t){return Math.log(t)/Math.LN2},distance:function(t,e){var i=e.lng-t.lng,n=e.lat-t.lat;return Math.sqrt(i*i+n*n)},infinite:!0});Y.Earth=J,Y.EPSG3395=e0,Y.EPSG3857=tt,Y.EPSG900913=te,Y.EPSG4326=e1,Y.Simple=e2;var e3=j.extend({options:{pane:"overlayPane",attribution:null,bubblingMouseEvents:!0},addTo:function(t){return t.addLayer(this),this},remove:function(){return this.removeFrom(this._map||this._mapToAdd)},removeFrom:function(t){return t&&t.removeLayer(this),this},getPane:function(t){return this._map.getPane(t?this.options[t]||t:this.options.pane)},addInteractiveTarget:function(t){return this._map._targets[m(t)]=this,this},removeInteractiveTarget:function(t){return delete this._map._targets[m(t)],this},getAttribution:function(){return this.options.attribution},_layerAdd:function(t){var e=t.target;if(e.hasLayer(this)){if(this._map=e,this._zoomAnimated=e._zoomAnimated,this.getEvents){var i=this.getEvents();e.on(i,this),this.once("remove",function(){e.off(i,this)},this)}this.onAdd(e),this.fire("add"),e.fire("layeradd",{layer:this})}}});eZ.include({addLayer:function(t){if(!t._layerAdd)throw Error("The provided object is not a Layer.");var e=m(t);return this._layers[e]||(this._layers[e]=t,t._mapToAdd=this,t.beforeAdd&&t.beforeAdd(this),this.whenReady(t._layerAdd,t)),this},removeLayer:function(t){var e=m(t);return this._layers[e]&&(this._loaded&&t.onRemove(this),delete this._layers[e],this._loaded&&(this.fire("layerremove",{layer:t}),t.fire("remove")),t._map=t._mapToAdd=null),this},hasLayer:function(t){return m(t)in this._layers},eachLayer:function(t,e){for(var i in this._layers)t.call(e,this._layers[i]);return this},_addLayers:function(t){t=t?z(t)?t:[t]:[];for(var e=0,i=t.length;ethis._layersMaxZoom&&this.setZoom(this._layersMaxZoom),void 0===this.options.minZoom&&this._layersMinZoom&&this.getZoom()=2&&e[0]instanceof G&&e[0].equals(e[i-1])&&e.pop(),e},_setLatLngs:function(t){io.prototype._setLatLngs.call(this,t),eY(this._latlngs)&&(this._latlngs=[this._latlngs])},_defaultShape:function(){return eY(this._latlngs[0])?this._latlngs[0]:this._latlngs[0][0]},_clipPoints:function(){var t=this._renderer._bounds,e=this.options.weight,i=new D(e,e);if(t=new F(t.min.subtract(i),t.max.add(i)),this._parts=[],this._pxBounds&&this._pxBounds.intersects(t)){if(this.options.noClip){this._parts=this._rings;return}for(var n,o=0,s=this._rings.length;ot.y!=n.y>t.y&&t.x<(n.x-i.x)*(t.y-i.y)/(n.y-i.y)+i.x&&(l=!l);return l||io.prototype._containsPoint.call(this,t,!0)}}),ir=e8.extend({initialize:function(t,e){b(this,e),this._layers={},t&&this.addData(t)},addData:function(t){var e,i,n,o=z(t)?t:t.features;if(o){for(e=0,i=o.length;e0&&o.push(o[0].slice()),o}function i_(t,i){return t.feature?e({},t.feature,{geometry:i}):ip(i)}function ip(t){return"Feature"===t.type||"FeatureCollection"===t.type?t:{type:"Feature",properties:{},geometry:t}}var im={toGeoJSON:function(t){return i_(this,{type:"Point",coordinates:ic(this.getLatLng(),t)})}};function ig(t,e){return new ir(t,e)}e7.include(im),ii.include(im),ie.include(im),io.include({toGeoJSON:function(t){var e=!eY(this._latlngs),i=id(this._latlngs,+!!e,!1,t);return i_(this,{type:(e?"Multi":"")+"LineString",coordinates:i})}}),is.include({toGeoJSON:function(t){var e=!eY(this._latlngs),i=e&&!eY(this._latlngs[0]),n=id(this._latlngs,i?2:+!!e,!0,t);return e||(n=[n]),i_(this,{type:(i?"Multi":"")+"Polygon",coordinates:n})}}),e5.include({toMultiPoint:function(t){var e=[];return this.eachLayer(function(i){e.push(i.toGeoJSON(t).geometry.coordinates)}),i_(this,{type:"MultiPoint",coordinates:e})},toGeoJSON:function(t){var e=this.feature&&this.feature.geometry&&this.feature.geometry.type;if("MultiPoint"===e)return this.toMultiPoint(t);var i="GeometryCollection"===e,n=[];return(this.eachLayer(function(e){if(e.toGeoJSON){var o=e.toGeoJSON(t);if(i)n.push(o.geometry);else{var s=ip(o);"FeatureCollection"===s.type?n.push.apply(n,s.features):n.push(s)}}}),i)?i_(this,{geometries:n,type:"GeometryCollection"}):{type:"FeatureCollection",features:n}}});var iv=e3.extend({options:{opacity:1,alt:"",interactive:!1,crossOrigin:!1,errorOverlayUrl:"",zIndex:1,className:""},initialize:function(t,e,i){this._url=t,this._bounds=V(e),b(this,i)},onAdd:function(){!this._image&&(this._initImage(),this.options.opacity<1&&this._updateOpacity()),this.options.interactive&&(t4(this._image,"leaflet-interactive"),this.addInteractiveTarget(this._image)),this.getPane().appendChild(this._image),this._reset()},onRemove:function(){t1(this._image),this.options.interactive&&this.removeInteractiveTarget(this._image)},setOpacity:function(t){return this.options.opacity=t,this._image&&this._updateOpacity(),this},setStyle:function(t){return t.opacity&&this.setOpacity(t.opacity),this},bringToFront:function(){return this._map&&t3(this._image),this},bringToBack:function(){return this._map&&t5(this._image),this},setUrl:function(t){return this._url=t,this._image&&(this._image.src=t),this},setBounds:function(t){return this._bounds=V(t),this._map&&this._reset(),this},getEvents:function(){var t={zoom:this._reset,viewreset:this._reset};return this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},setZIndex:function(t){return this.options.zIndex=t,this._updateZIndex(),this},getBounds:function(){return this._bounds},getElement:function(){return this._image},_initImage:function(){var t="IMG"===this._url.tagName,e=this._image=t?this._url:t0("img");if(t4(e,"leaflet-image-layer"),this._zoomAnimated&&t4(e,"leaflet-zoom-animated"),this.options.className&&t4(e,this.options.className),e.onselectstart=v,e.onmousemove=v,e.onload=_(this.fire,this,"load"),e.onerror=_(this._overlayOnError,this,"error"),(this.options.crossOrigin||""===this.options.crossOrigin)&&(e.crossOrigin=!0===this.options.crossOrigin?"":this.options.crossOrigin),this.options.zIndex&&this._updateZIndex(),t){this._url=e.src;return}e.src=this._url,e.alt=this.options.alt},_animateZoom:function(t){var e=this._map.getZoomScale(t.zoom),i=this._map._latLngBoundsToNewLayerBounds(this._bounds,t.zoom,t.center).min;ei(this._image,i,e)},_reset:function(){var t=this._image,e=new F(this._map.latLngToLayerPoint(this._bounds.getNorthWest()),this._map.latLngToLayerPoint(this._bounds.getSouthEast())),i=e.getSize();en(t,e.min),t.style.width=i.x+"px",t.style.height=i.y+"px"},_updateOpacity:function(){et(this._image,this.options.opacity)},_updateZIndex:function(){this._image&&void 0!==this.options.zIndex&&null!==this.options.zIndex&&(this._image.style.zIndex=this.options.zIndex)},_overlayOnError:function(){this.fire("error");var t=this.options.errorOverlayUrl;t&&this._url!==t&&(this._url=t,this._image.src=t)},getCenter:function(){return this._bounds.getCenter()}}),iy=iv.extend({options:{autoplay:!0,loop:!0,keepAspectRatio:!0,muted:!1,playsInline:!0},_initImage:function(){var t="VIDEO"===this._url.tagName,e=this._image=t?this._url:t0("video");if(t4(e,"leaflet-image-layer"),this._zoomAnimated&&t4(e,"leaflet-zoom-animated"),this.options.className&&t4(e,this.options.className),e.onselectstart=v,e.onmousemove=v,e.onloadeddata=_(this.fire,this,"load"),t){for(var i=e.getElementsByTagName("source"),n=[],o=0;o0?n:[e.src];return}z(this._url)||(this._url=[this._url]),!this.options.keepAspectRatio&&Object.prototype.hasOwnProperty.call(e.style,"objectFit")&&(e.style.objectFit="fill"),e.autoplay=!!this.options.autoplay,e.loop=!!this.options.loop,e.muted=!!this.options.muted,e.playsInline=!!this.options.playsInline;for(var s=0;so?(e.height=o+"px",t4(t,s)):t9(t,s),this._containerWidth=this._container.offsetWidth},_animateZoom:function(t){var e=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center),i=this._getAnchor();en(this._container,e.add(i))},_adjustPan:function(){if(this.options.autoPan){if(this._map._panAnim&&this._map._panAnim.stop(),this._autopanning){this._autopanning=!1;return}var t=this._map,e=parseInt(tQ(this._container,"marginBottom"),10)||0,i=this._container.offsetHeight+e,n=this._containerWidth,o=new D(this._containerLeft,-i-this._containerBottom);o._add(eo(this._container));var s=t.layerPointToContainerPoint(o),r=W(this.options.autoPanPadding),a=W(this.options.autoPanPaddingTopLeft||r),h=W(this.options.autoPanPaddingBottomRight||r),l=t.getSize(),u=0,c=0;s.x+n+h.x>l.x&&(u=s.x+n-l.x+h.x),s.x-u-a.x<0&&(u=s.x-a.x),s.y+i+h.y>l.y&&(c=s.y+i-l.y+h.y),s.y-c-a.y<0&&(c=s.y-a.y),(u||c)&&(this.options.keepInView&&(this._autopanning=!0),t.fire("autopanstart").panBy([u,c]))}},_getAnchor:function(){return W(this._source&&this._source._getPopupAnchor?this._source._getPopupAnchor():[0,0])}});eZ.mergeOptions({closePopupOnClick:!0}),eZ.include({openPopup:function(t,e,i){return this._initOverlay(ib,t,e,i).openOn(this),this},closePopup:function(t){return t=arguments.length?t:this._popup,t&&t.close(),this}}),e3.include({bindPopup:function(t,e){return this._popup=this._initOverlay(ib,this._popup,t,e),this._popupHandlersAdded||(this.on({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!0),this},unbindPopup:function(){return this._popup&&(this.off({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!1,this._popup=null),this},openPopup:function(t){return this._popup&&(this instanceof e8||(this._popup._source=this),this._popup._prepareOpen(t||this._latlng)&&this._popup.openOn(this._map)),this},closePopup:function(){return this._popup&&this._popup.close(),this},togglePopup:function(){return this._popup&&this._popup.toggle(this),this},isPopupOpen:function(){return!!this._popup&&this._popup.isOpen()},setPopupContent:function(t){return this._popup&&this._popup.setContent(t),this},getPopup:function(){return this._popup},_openPopup:function(t){if(this._popup&&this._map){eP(t);var e=t.layer||t.target;if(this._popup._source===e&&!(e instanceof it))return void(this._map.hasLayer(this._popup)?this.closePopup():this.openPopup(t.latlng));this._popup._source=e,this.openPopup(t.latlng)}},_movePopup:function(t){this._popup.setLatLng(t.latlng)},_onKeyPress:function(t){13===t.originalEvent.keyCode&&this._openPopup(t)}});var iP=iw.extend({options:{pane:"tooltipPane",offset:[0,0],direction:"auto",permanent:!1,sticky:!1,opacity:.9},onAdd:function(t){iw.prototype.onAdd.call(this,t),this.setOpacity(this.options.opacity),t.fire("tooltipopen",{tooltip:this}),this._source&&(this.addEventParent(this._source),this._source.fire("tooltipopen",{tooltip:this},!0))},onRemove:function(t){iw.prototype.onRemove.call(this,t),t.fire("tooltipclose",{tooltip:this}),this._source&&(this.removeEventParent(this._source),this._source.fire("tooltipclose",{tooltip:this},!0))},getEvents:function(){var t=iw.prototype.getEvents.call(this);return this.options.permanent||(t.preclick=this.close),t},_initLayout:function(){var t="leaflet-tooltip "+(this.options.className||"")+" leaflet-zoom-"+(this._zoomAnimated?"animated":"hide");this._contentNode=this._container=t0("div",t),this._container.setAttribute("role","tooltip"),this._container.setAttribute("id","leaflet-tooltip-"+m(this))},_updateLayout:function(){},_adjustPan:function(){},_setPosition:function(t){var e,i,n=this._map,o=this._container,s=n.latLngToContainerPoint(n.getCenter()),r=n.layerPointToContainerPoint(t),a=this.options.direction,h=o.offsetWidth,l=o.offsetHeight,u=W(this.options.offset),c=this._getAnchor();"top"===a?(e=h/2,i=l):"bottom"===a?(e=h/2,i=0):("center"===a?e=h/2:"right"===a?e=0:"left"===a?e=h:r.xthis.options.maxZoom||in&&this._retainParent(o,s,r,n))},_retainChildren:function(t,e,i,n){for(var o=2*t;o<2*t+2;o++)for(var s=2*e;s<2*e+2;s++){var r=new D(o,s);r.z=i+1;var a=this._tileCoordsToKey(r),h=this._tiles[a];if(h&&h.active){h.retain=!0;continue}h&&h.loaded&&(h.retain=!0),i+1this.options.maxZoom||void 0!==this.options.minZoom&&o1)return void this._setView(t,i);for(var c=o.min.y;c<=o.max.y;c++)for(var d=o.min.x;d<=o.max.x;d++){var _=new D(d,c);if(_.z=this._tileZoom,this._isValidTile(_)){var p=this._tiles[this._tileCoordsToKey(_)];p?p.current=!0:r.push(_)}}if(r.sort(function(t,e){return t.distanceTo(s)-e.distanceTo(s)}),0!==r.length){this._loading||(this._loading=!0,this.fire("loading"));var m=document.createDocumentFragment();for(d=0;di.max.x)||!e.wrapLat&&(t.yi.max.y))return!1}if(!this.options.bounds)return!0;var n=this._tileCoordsToBounds(t);return V(this.options.bounds).overlaps(n)},_keyToBounds:function(t){return this._tileCoordsToBounds(this._keyToTileCoords(t))},_tileCoordsToNwSe:function(t){var e=this._map,i=this.getTileSize(),n=t.scaleBy(i),o=n.add(i);return[e.unproject(n,t.z),e.unproject(o,t.z)]},_tileCoordsToBounds:function(t){var e=this._tileCoordsToNwSe(t),i=new q(e[0],e[1]);return this.options.noWrap||(i=this._map.wrapLatLngBounds(i)),i},_tileCoordsToKey:function(t){return t.x+":"+t.y+":"+t.z},_keyToTileCoords:function(t){var e=t.split(":"),i=new D(+e[0],+e[1]);return i.z=+e[2],i},_removeTile:function(t){var e=this._tiles[t];e&&(t1(e.el),delete this._tiles[t],this.fire("tileunload",{tile:e.el,coords:this._keyToTileCoords(t)}))},_initTile:function(t){t4(t,"leaflet-tile");var e=this.getTileSize();t.style.width=e.x+"px",t.style.height=e.y+"px",t.onselectstart=v,t.onmousemove=v,tB.ielt9&&this.options.opacity<1&&et(t,this.options.opacity)},_addTile:function(t,e){var i=this._getTilePos(t),n=this._tileCoordsToKey(t),o=this.createTile(this._wrapCoords(t),_(this._tileReady,this,t));this._initTile(o),this.createTile.length<2&&I(_(this._tileReady,this,t,null,o)),en(o,i),this._tiles[n]={el:o,coords:t,current:!0},e.appendChild(o),this.fire("tileloadstart",{tile:o,coords:t})},_tileReady:function(t,e,i){e&&this.fire("tileerror",{error:e,tile:i,coords:t});var n=this._tileCoordsToKey(t);(i=this._tiles[n])&&(i.loaded=+new Date,this._map._fadeAnimated?(et(i.el,0),B(this._fadeFrame),this._fadeFrame=I(this._updateOpacity,this)):(i.active=!0,this._pruneTiles()),e||(t4(i.el,"leaflet-tile-loaded"),this.fire("tileload",{tile:i.el,coords:t})),this._noTilesToLoad()&&(this._loading=!1,this.fire("load"),tB.ielt9||!this._map._fadeAnimated?I(this._pruneTiles,this):setTimeout(_(this._pruneTiles,this),250)))},_getTilePos:function(t){return t.scaleBy(this.getTileSize()).subtract(this._level.origin)},_wrapCoords:function(t){var e=new D(this._wrapX?g(t.x,this._wrapX):t.x,this._wrapY?g(t.y,this._wrapY):t.y);return e.z=t.z,e},_pxBoundsToTileRange:function(t){var e=this.getTileSize();return new F(t.min.unscaleBy(e).floor(),t.max.unscaleBy(e).ceil().subtract([1,1]))},_noTilesToLoad:function(){for(var t in this._tiles)if(!this._tiles[t].loaded)return!1;return!0}}),iM=iT.extend({options:{minZoom:0,maxZoom:18,subdomains:"abc",errorTileUrl:"",zoomOffset:0,tms:!1,zoomReverse:!1,detectRetina:!1,crossOrigin:!1,referrerPolicy:!1},initialize:function(t,e){this._url=t,(e=b(this,e)).detectRetina&&tB.retina&&e.maxZoom>0?(e.tileSize=Math.floor(e.tileSize/2),e.zoomReverse?(e.zoomOffset--,e.minZoom=Math.min(e.maxZoom,e.minZoom+1)):(e.zoomOffset++,e.maxZoom=Math.max(e.minZoom,e.maxZoom-1)),e.minZoom=Math.max(0,e.minZoom)):e.zoomReverse?e.minZoom=Math.min(e.maxZoom,e.minZoom):e.maxZoom=Math.max(e.minZoom,e.maxZoom),"string"==typeof e.subdomains&&(e.subdomains=e.subdomains.split("")),this.on("tileunload",this._onTileRemove)},setUrl:function(t,e){return this._url===t&&void 0===e&&(e=!0),this._url=t,e||this.redraw(),this},createTile:function(t,e){var i=document.createElement("img");return ed(i,"load",_(this._tileOnLoad,this,e,i)),ed(i,"error",_(this._tileOnError,this,e,i)),(this.options.crossOrigin||""===this.options.crossOrigin)&&(i.crossOrigin=!0===this.options.crossOrigin?"":this.options.crossOrigin),"string"==typeof this.options.referrerPolicy&&(i.referrerPolicy=this.options.referrerPolicy),i.alt="",i.src=this.getTileUrl(t),i},getTileUrl:function(t){var i={r:tB.retina?"@2x":"",s:this._getSubdomain(t),x:t.x,y:t.y,z:this._getZoomForUrl()};if(this._map&&!this._map.options.crs.infinite){var n=this._globalTileRange.max.y-t.y;this.options.tms&&(i.y=n),i["-y"]=n}return M(this._url,e(i,this.options))},_tileOnLoad:function(t,e){tB.ielt9?setTimeout(_(t,this,null,e),0):t(null,e)},_tileOnError:function(t,e,i){var n=this.options.errorTileUrl;n&&e.getAttribute("src")!==n&&(e.src=n),t(i,e)},_onTileRemove:function(t){t.tile.onload=null},_getZoomForUrl:function(){var t=this._tileZoom,e=this.options.maxZoom,i=this.options.zoomReverse,n=this.options.zoomOffset;return i&&(t=e-t),t+n},_getSubdomain:function(t){var e=Math.abs(t.x+t.y)%this.options.subdomains.length;return this.options.subdomains[e]},_abortLoading:function(){var t,e;for(t in this._tiles)if(this._tiles[t].coords.z!==this._tileZoom&&((e=this._tiles[t].el).onload=v,e.onerror=v,!e.complete)){e.src=S;var i=this._tiles[t].coords;t1(e),delete this._tiles[t],this.fire("tileabort",{tile:e,coords:i})}},_removeTile:function(t){var e=this._tiles[t];if(e)return e.el.setAttribute("src",S),iT.prototype._removeTile.call(this,t)},_tileReady:function(t,e,i){if(this._map&&(!i||i.getAttribute("src")!==S))return iT.prototype._tileReady.call(this,t,e,i)}});function iz(t,e){return new iM(t,e)}var iC=iM.extend({defaultWmsParams:{service:"WMS",request:"GetMap",layers:"",styles:"",format:"image/jpeg",transparent:!1,version:"1.1.1"},options:{crs:null,uppercase:!1},initialize:function(t,i){this._url=t;var n=e({},this.defaultWmsParams);for(var o in i)o in this.options||(n[o]=i[o]);var s=(i=b(this,i)).detectRetina&&tB.retina?2:1,r=this.getTileSize();n.width=r.x*s,n.height=r.y*s,this.wmsParams=n},onAdd:function(t){this._crs=this.options.crs||t.options.crs,this._wmsVersion=parseFloat(this.wmsParams.version);var e=this._wmsVersion>=1.3?"crs":"srs";this.wmsParams[e]=this._crs.code,iM.prototype.onAdd.call(this,t)},getTileUrl:function(t){var e=this._tileCoordsToNwSe(t),i=this._crs,n=U(i.project(e[0]),i.project(e[1])),o=n.min,s=n.max,r=(this._wmsVersion>=1.3&&this._crs===e1?[o.y,o.x,s.y,s.x]:[o.x,o.y,s.x,s.y]).join(","),a=iM.prototype.getTileUrl.call(this,t);return a+P(this.wmsParams,a,this.options.uppercase)+(this.options.uppercase?"&BBOX=":"&bbox=")+r},setParams:function(t,i){return e(this.wmsParams,t),i||this.redraw(),this}});iM.WMS=iC,iz.wms=function(t,e){return new iC(t,e)};var iS=e3.extend({options:{padding:.1},initialize:function(t){b(this,t),m(this),this._layers=this._layers||{}},onAdd:function(){this._container||(this._initContainer(),t4(this._container,"leaflet-zoom-animated")),this.getPane().appendChild(this._container),this._update(),this.on("update",this._updatePaths,this)},onRemove:function(){this.off("update",this._updatePaths,this),this._destroyContainer()},getEvents:function(){var t={viewreset:this._reset,zoom:this._onZoom,moveend:this._update,zoomend:this._onZoomEnd};return this._zoomAnimated&&(t.zoomanim=this._onAnimZoom),t},_onAnimZoom:function(t){this._updateTransform(t.center,t.zoom)},_onZoom:function(){this._updateTransform(this._map.getCenter(),this._map.getZoom())},_updateTransform:function(t,e){var i=this._map.getZoomScale(e,this._zoom),n=this._map.getSize().multiplyBy(.5+this.options.padding),o=this._map.project(this._center,e),s=n.multiplyBy(-i).add(o).subtract(this._map._getNewPixelOrigin(t,e));tB.any3d?ei(this._container,s,i):en(this._container,s)},_reset:function(){for(var t in this._update(),this._updateTransform(this._center,this._zoom),this._layers)this._layers[t]._reset()},_onZoomEnd:function(){for(var t in this._layers)this._layers[t]._project()},_updatePaths:function(){for(var t in this._layers)this._layers[t]._update()},_update:function(){var t=this.options.padding,e=this._map.getSize(),i=this._map.containerPointToLayerPoint(e.multiplyBy(-t)).round();this._bounds=new F(i,i.add(e.multiplyBy(1+2*t)).round()),this._center=this._map.getCenter(),this._zoom=this._map.getZoom()}}),iZ=iS.extend({options:{tolerance:0},getEvents:function(){var t=iS.prototype.getEvents.call(this);return t.viewprereset=this._onViewPreReset,t},_onViewPreReset:function(){this._postponeUpdatePaths=!0},onAdd:function(){iS.prototype.onAdd.call(this),this._draw()},_initContainer:function(){var t=this._container=document.createElement("canvas");ed(t,"mousemove",this._onMouseMove,this),ed(t,"click dblclick mousedown mouseup contextmenu",this._onClick,this),ed(t,"mouseout",this._handleMouseOut,this),t._leaflet_disable_events=!0,this._ctx=t.getContext("2d")},_destroyContainer:function(){B(this._redrawRequest),delete this._ctx,t1(this._container),ep(this._container),delete this._container},_updatePaths:function(){if(!this._postponeUpdatePaths){for(var t in this._redrawBounds=null,this._layers)this._layers[t]._update();this._redraw()}},_update:function(){if(!this._map._animatingZoom||!this._bounds){iS.prototype._update.call(this);var t=this._bounds,e=this._container,i=t.getSize(),n=tB.retina?2:1;en(e,t.min),e.width=n*i.x,e.height=n*i.y,e.style.width=i.x+"px",e.style.height=i.y+"px",tB.retina&&this._ctx.scale(2,2),this._ctx.translate(-t.min.x,-t.min.y),this.fire("update")}},_reset:function(){iS.prototype._reset.call(this),this._postponeUpdatePaths&&(this._postponeUpdatePaths=!1,this._updatePaths())},_initPath:function(t){this._updateDashArray(t),this._layers[m(t)]=t;var e=t._order={layer:t,prev:this._drawLast,next:null};this._drawLast&&(this._drawLast.next=e),this._drawLast=e,this._drawFirst=this._drawFirst||this._drawLast},_addPath:function(t){this._requestRedraw(t)},_removePath:function(t){var e=t._order,i=e.next,n=e.prev;i?i.prev=n:this._drawLast=n,n?n.next=i:this._drawFirst=i,delete t._order,delete this._layers[m(t)],this._requestRedraw(t)},_updatePath:function(t){this._extendRedrawBounds(t),t._project(),t._update(),this._requestRedraw(t)},_updateStyle:function(t){this._updateDashArray(t),this._requestRedraw(t)},_updateDashArray:function(t){if("string"==typeof t.options.dashArray){var e,i,n=t.options.dashArray.split(/[, ]+/),o=[];for(i=0;i')}}catch(t){}return function(t){return document.createElement("<"+t+' xmlns="urn:schemas-microsoft.com:vml" class="lvml">')}}(),iO=tB.vml?ik:ti,iA=iS.extend({_initContainer:function(){this._container=iO("svg"),this._container.setAttribute("pointer-events","none"),this._rootGroup=iO("g"),this._container.appendChild(this._rootGroup)},_destroyContainer:function(){t1(this._container),ep(this._container),delete this._container,delete this._rootGroup,delete this._svgSize},_update:function(){if(!this._map._animatingZoom||!this._bounds){iS.prototype._update.call(this);var t=this._bounds,e=t.getSize(),i=this._container;this._svgSize&&this._svgSize.equals(e)||(this._svgSize=e,i.setAttribute("width",e.x),i.setAttribute("height",e.y)),en(i,t.min),i.setAttribute("viewBox",[t.min.x,t.min.y,e.x,e.y].join(" ")),this.fire("update")}},_initPath:function(t){var e=t._path=iO("path");t.options.className&&t4(e,t.options.className),t.options.interactive&&t4(e,"leaflet-interactive"),this._updateStyle(t),this._layers[m(t)]=t},_addPath:function(t){this._rootGroup||this._initContainer(),this._rootGroup.appendChild(t._path),t.addInteractiveTarget(t._path)},_removePath:function(t){t1(t._path),t.removeInteractiveTarget(t._path),delete this._layers[m(t)]},_updatePath:function(t){t._project(),t._update()},_updateStyle:function(t){var e=t._path,i=t.options;e&&(i.stroke?(e.setAttribute("stroke",i.color),e.setAttribute("stroke-opacity",i.opacity),e.setAttribute("stroke-width",i.weight),e.setAttribute("stroke-linecap",i.lineCap),e.setAttribute("stroke-linejoin",i.lineJoin),i.dashArray?e.setAttribute("stroke-dasharray",i.dashArray):e.removeAttribute("stroke-dasharray"),i.dashOffset?e.setAttribute("stroke-dashoffset",i.dashOffset):e.removeAttribute("stroke-dashoffset")):e.setAttribute("stroke","none"),i.fill?(e.setAttribute("fill",i.fillColor||i.color),e.setAttribute("fill-opacity",i.fillOpacity),e.setAttribute("fill-rule",i.fillRule||"evenodd")):e.setAttribute("fill","none"))},_updatePoly:function(t,e){this._setPath(t,tn(t._parts,e))},_updateCircle:function(t){var e=t._point,i=Math.max(Math.round(t._radius),1),n=Math.max(Math.round(t._radiusY),1)||i,o="a"+i+","+n+" 0 1,0 ",s=t._empty()?"M0 0":"M"+(e.x-i)+","+e.y+o+2*i+",0 "+o+-(2*i)+",0 ";this._setPath(t,s)},_setPath:function(t,e){t._path.setAttribute("d",e)},_bringToFront:function(t){t3(t._path)},_bringToBack:function(t){t5(t._path)}});function iI(t){return tB.svg||tB.vml?new iA(t):null}tB.vml&&iA.include({_initContainer:function(){this._container=t0("div","leaflet-vml-container")},_update:function(){this._map._animatingZoom||(iS.prototype._update.call(this),this.fire("update"))},_initPath:function(t){var e=t._container=ik("shape");t4(e,"leaflet-vml-shape "+(this.options.className||"")),e.coordsize="1 1",t._path=ik("path"),e.appendChild(t._path),this._updateStyle(t),this._layers[m(t)]=t},_addPath:function(t){var e=t._container;this._container.appendChild(e),t.options.interactive&&t.addInteractiveTarget(e)},_removePath:function(t){var e=t._container;t1(e),t.removeInteractiveTarget(e),delete this._layers[m(t)]},_updateStyle:function(t){var e=t._stroke,i=t._fill,n=t.options,o=t._container;o.stroked=!!n.stroke,o.filled=!!n.fill,n.stroke?(e||(e=t._stroke=ik("stroke")),o.appendChild(e),e.weight=n.weight+"px",e.color=n.color,e.opacity=n.opacity,n.dashArray?e.dashStyle=z(n.dashArray)?n.dashArray.join(" "):n.dashArray.replace(/( *, *)/g," "):e.dashStyle="",e.endcap=n.lineCap.replace("butt","flat"),e.joinstyle=n.lineJoin):e&&(o.removeChild(e),t._stroke=null),n.fill?(i||(i=t._fill=ik("fill")),o.appendChild(i),i.color=n.fillColor||n.color,i.opacity=n.fillOpacity):i&&(o.removeChild(i),t._fill=null)},_updateCircle:function(t){var e=t._point.round(),i=Math.round(t._radius),n=Math.round(t._radiusY||i);this._setPath(t,t._empty()?"M0 0":"AL "+e.x+","+e.y+" "+i+","+n+" 0,23592600")},_setPath:function(t,e){t._path.v=e},_bringToFront:function(t){t3(t._container)},_bringToBack:function(t){t5(t._container)}}),eZ.include({getRenderer:function(t){var e=t.options.renderer||this._getPaneRenderer(t.options.pane)||this.options.renderer||this._renderer;return e||(e=this._renderer=this._createRenderer()),this.hasLayer(e)||this.addLayer(e),e},_getPaneRenderer:function(t){if("overlayPane"===t||void 0===t)return!1;var e=this._paneRenderers[t];return void 0===e&&(e=this._createRenderer({pane:t}),this._paneRenderers[t]=e),e},_createRenderer:function(t){return this.options.preferCanvas&&iE(t)||iI(t)}});var iB=is.extend({initialize:function(t,e){is.prototype.initialize.call(this,this._boundsToLatLngs(t),e)},setBounds:function(t){return this.setLatLngs(this._boundsToLatLngs(t))},_boundsToLatLngs:function(t){return[(t=V(t)).getSouthWest(),t.getNorthWest(),t.getNorthEast(),t.getSouthEast()]}});iA.create=iO,iA.pointsToPath=tn,ir.geometryToLayer=ia,ir.coordsToLatLng=il,ir.coordsToLatLngs=iu,ir.latLngToCoords=ic,ir.latLngsToCoords=id,ir.getFeature=i_,ir.asFeature=ip,eZ.mergeOptions({boxZoom:!0});var iR=eR.extend({initialize:function(t){this._map=t,this._container=t._container,this._pane=t._panes.overlayPane,this._resetStateTimeout=0,t.on("unload",this._destroy,this)},addHooks:function(){ed(this._container,"mousedown",this._onMouseDown,this)},removeHooks:function(){ep(this._container,"mousedown",this._onMouseDown,this)},moved:function(){return this._moved},_destroy:function(){t1(this._pane),delete this._pane},_resetState:function(){this._resetStateTimeout=0,this._moved=!1},_clearDeferredResetState:function(){0!==this._resetStateTimeout&&(clearTimeout(this._resetStateTimeout),this._resetStateTimeout=0)},_onMouseDown:function(t){if(!t.shiftKey||1!==t.which&&1!==t.button)return!1;this._clearDeferredResetState(),this._resetState(),i(),er(),this._startPoint=this._map.mouseEventToContainerPoint(t),ed(document,{contextmenu:eP,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseMove:function(t){this._moved||(this._moved=!0,this._box=t0("div","leaflet-zoom-box",this._container),t4(this._container,"leaflet-crosshair"),this._map.fire("boxzoomstart")),this._point=this._map.mouseEventToContainerPoint(t);var e=new F(this._point,this._startPoint),i=e.getSize();en(this._box,e.min),this._box.style.width=i.x+"px",this._box.style.height=i.y+"px"},_finish:function(){this._moved&&(t1(this._box),t9(this._container,"leaflet-crosshair")),n(),ea(),ep(document,{contextmenu:eP,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseUp:function(t){if((1===t.which||1===t.button)&&(this._finish(),this._moved)){this._clearDeferredResetState(),this._resetStateTimeout=setTimeout(_(this._resetState,this),0);var e=new q(this._map.containerPointToLatLng(this._startPoint),this._map.containerPointToLatLng(this._point));this._map.fitBounds(e).fire("boxzoomend",{boxZoomBounds:e})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._clearDeferredResetState(),this._resetState())}});eZ.addInitHook("addHandler","boxZoom",iR),eZ.mergeOptions({doubleClickZoom:!0});var iN=eR.extend({addHooks:function(){this._map.on("dblclick",this._onDoubleClick,this)},removeHooks:function(){this._map.off("dblclick",this._onDoubleClick,this)},_onDoubleClick:function(t){var e=this._map,i=e.getZoom(),n=e.options.zoomDelta,o=t.originalEvent.shiftKey?i-n:i+n;"center"===e.options.doubleClickZoom?e.setZoom(o):e.setZoomAround(t.containerPoint,o)}});eZ.addInitHook("addHandler","doubleClickZoom",iN),eZ.mergeOptions({dragging:!0,inertia:!0,inertiaDeceleration:3400,inertiaMaxSpeed:1/0,easeLinearity:.2,worldCopyJump:!1,maxBoundsViscosity:0});var ij=eR.extend({addHooks:function(){if(!this._draggable){var t=this._map;this._draggable=new ej(t._mapPane,t._container),this._draggable.on({dragstart:this._onDragStart,drag:this._onDrag,dragend:this._onDragEnd},this),this._draggable.on("predrag",this._onPreDragLimit,this),t.options.worldCopyJump&&(this._draggable.on("predrag",this._onPreDragWrap,this),t.on("zoomend",this._onZoomEnd,this),t.whenReady(this._onZoomEnd,this))}t4(this._map._container,"leaflet-grab leaflet-touch-drag"),this._draggable.enable(),this._positions=[],this._times=[]},removeHooks:function(){t9(this._map._container,"leaflet-grab"),t9(this._map._container,"leaflet-touch-drag"),this._draggable.disable()},moved:function(){return this._draggable&&this._draggable._moved},moving:function(){return this._draggable&&this._draggable._moving},_onDragStart:function(){var t=this._map;if(t._stop(),this._map.options.maxBounds&&this._map.options.maxBoundsViscosity){var e=V(this._map.options.maxBounds);this._offsetLimit=U(this._map.latLngToContainerPoint(e.getNorthWest()).multiplyBy(-1),this._map.latLngToContainerPoint(e.getSouthEast()).multiplyBy(-1).add(this._map.getSize())),this._viscosity=Math.min(1,Math.max(0,this._map.options.maxBoundsViscosity))}else this._offsetLimit=null;t.fire("movestart").fire("dragstart"),t.options.inertia&&(this._positions=[],this._times=[])},_onDrag:function(t){if(this._map.options.inertia){var e=this._lastTime=+new Date,i=this._lastPos=this._draggable._absPos||this._draggable._newPos;this._positions.push(i),this._times.push(e),this._prunePositions(e)}this._map.fire("move",t).fire("drag",t)},_prunePositions:function(t){for(;this._positions.length>1&&t-this._times[0]>50;)this._positions.shift(),this._times.shift()},_onZoomEnd:function(){var t=this._map.getSize().divideBy(2),e=this._map.latLngToLayerPoint([0,0]);this._initialWorldOffset=e.subtract(t).x,this._worldWidth=this._map.getPixelWorldBounds().getSize().x},_viscousLimit:function(t,e){return t-(t-e)*this._viscosity},_onPreDragLimit:function(){if(this._viscosity&&this._offsetLimit){var t=this._draggable._newPos.subtract(this._draggable._startPos),e=this._offsetLimit;t.xe.max.x&&(t.x=this._viscousLimit(t.x,e.max.x)),t.y>e.max.y&&(t.y=this._viscousLimit(t.y,e.max.y)),this._draggable._newPos=this._draggable._startPos.add(t)}},_onPreDragWrap:function(){var t=this._worldWidth,e=Math.round(t/2),i=this._initialWorldOffset,n=this._draggable._newPos.x,o=(n-e+i)%t+e-i,s=(n+e+i)%t-e-i,r=Math.abs(o+i)0?o:-o))-e;this._delta=0,this._startTime=null,s&&("center"===t.options.scrollWheelZoom?t.setZoom(e+s):t.setZoomAround(this._lastMousePos,e+s))}});eZ.addInitHook("addHandler","scrollWheelZoom",iH),eZ.mergeOptions({tapHold:tB.touchNative&&tB.safari&&tB.mobile,tapTolerance:15});var iW=eR.extend({addHooks:function(){ed(this._map._container,"touchstart",this._onDown,this)},removeHooks:function(){ep(this._map._container,"touchstart",this._onDown,this)},_onDown:function(t){if(clearTimeout(this._holdTimeout),1===t.touches.length){var e=t.touches[0];this._startPos=this._newPos=new D(e.clientX,e.clientY),this._holdTimeout=setTimeout(_(function(){this._cancel(),this._isTapValid()&&(ed(document,"touchend",eb),ed(document,"touchend touchcancel",this._cancelClickPrevent),this._simulateEvent("contextmenu",e))},this),600),ed(document,"touchend touchcancel contextmenu",this._cancel,this),ed(document,"touchmove",this._onMove,this)}},_cancelClickPrevent:function t(){ep(document,"touchend",eb),ep(document,"touchend touchcancel",t)},_cancel:function(){clearTimeout(this._holdTimeout),ep(document,"touchend touchcancel contextmenu",this._cancel,this),ep(document,"touchmove",this._onMove,this)},_onMove:function(t){var e=t.touches[0];this._newPos=new D(e.clientX,e.clientY)},_isTapValid:function(){return this._newPos.distanceTo(this._startPos)<=this._map.options.tapTolerance},_simulateEvent:function(t,e){var i=new MouseEvent(t,{bubbles:!0,cancelable:!0,view:window,screenX:e.screenX,screenY:e.screenY,clientX:e.clientX,clientY:e.clientY});i._simulated=!0,e.target.dispatchEvent(i)}});eZ.addInitHook("addHandler","tapHold",iW),eZ.mergeOptions({touchZoom:tB.touch,bounceAtZoomLimits:!0});var iF=eR.extend({addHooks:function(){t4(this._map._container,"leaflet-touch-zoom"),ed(this._map._container,"touchstart",this._onTouchStart,this)},removeHooks:function(){t9(this._map._container,"leaflet-touch-zoom"),ep(this._map._container,"touchstart",this._onTouchStart,this)},_onTouchStart:function(t){var e=this._map;if(t.touches&&2===t.touches.length&&!e._animatingZoom&&!this._zooming){var i=e.mouseEventToContainerPoint(t.touches[0]),n=e.mouseEventToContainerPoint(t.touches[1]);this._centerPoint=e.getSize()._divideBy(2),this._startLatLng=e.containerPointToLatLng(this._centerPoint),"center"!==e.options.touchZoom&&(this._pinchStartLatLng=e.containerPointToLatLng(i.add(n)._divideBy(2))),this._startDist=i.distanceTo(n),this._startZoom=e.getZoom(),this._moved=!1,this._zooming=!0,e._stop(),ed(document,"touchmove",this._onTouchMove,this),ed(document,"touchend touchcancel",this._onTouchEnd,this),eb(t)}},_onTouchMove:function(t){if(t.touches&&2===t.touches.length&&this._zooming){var e=this._map,i=e.mouseEventToContainerPoint(t.touches[0]),n=e.mouseEventToContainerPoint(t.touches[1]),o=i.distanceTo(n)/this._startDist;if(this._zoom=e.getScaleZoom(o,this._startZoom),!e.options.bounceAtZoomLimits&&(this._zoome.getMaxZoom()&&o>1)&&(this._zoom=e._limitZoom(this._zoom)),"center"===e.options.touchZoom){if(this._center=this._startLatLng,1===o)return}else{var s=i._add(n)._divideBy(2)._subtract(this._centerPoint);if(1===o&&0===s.x&&0===s.y)return;this._center=e.unproject(e.project(this._pinchStartLatLng,this._zoom).subtract(s),this._zoom)}this._moved||(e._moveStart(!0,!1),this._moved=!0),B(this._animRequest);var r=_(e._move,e,this._center,this._zoom,{pinch:!0,round:!1},void 0);this._animRequest=I(r,this,!0),eb(t)}},_onTouchEnd:function(){if(!this._moved||!this._zooming){this._zooming=!1;return}this._zooming=!1,B(this._animRequest),ep(document,"touchmove",this._onTouchMove,this),ep(document,"touchend 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tW[t.pointerId]}function tK(t,e){if(e.pointerType!==(e.MSPOINTER_TYPE_MOUSE||"mouse")){for(var i in e.touches=[],tW)e.touches.push(tW[i]);e.changedTouches=[e],t(e)}}var tY=ee(["transform","webkitTransform","OTransform","MozTransform","msTransform"]),tJ=ee(["webkitTransition","transition","OTransition","MozTransition","msTransition"]),tX="webkitTransition"===tJ||"OTransition"===tJ?tJ+"End":"transitionend";function t$(t){return"string"==typeof t?document.getElementById(t):t}function tQ(t,e){var i=t.style[e]||t.currentStyle&&t.currentStyle[e];if((!i||"auto"===i)&&document.defaultView){var n=document.defaultView.getComputedStyle(t,null);i=n?n[e]:null}return"auto"===i?null:i}function t0(t,e,i){var n=document.createElement(t);return n.className=e||"",i&&i.appendChild(n),n}function t1(t){var e=t.parentNode;e&&e.removeChild(t)}function t2(t){for(;t.firstChild;)t.removeChild(t.firstChild)}function t3(t){var e=t.parentNode;e&&e.lastChild!==t&&e.appendChild(t)}function t5(t){var e=t.parentNode;e&&e.firstChild!==t&&e.insertBefore(t,e.firstChild)}function t4(t,e){if(void 0!==t.classList)return t.classList.contains(e);var i=t7(t);return i.length>0&&RegExp("(^|\\s)"+e+"(\\s|$)").test(i)}function t8(t,e){if(void 0!==t.classList)for(var i=w(e),n=0,o=i.length;n0?2*window.devicePixelRatio:1;function ez(t){return tB.edge?t.wheelDeltaY/2:t.deltaY&&0===t.deltaMode?-t.deltaY/eM:t.deltaY&&1===t.deltaMode?-(20*t.deltaY):t.deltaY&&2===t.deltaMode?-(60*t.deltaY):t.deltaX||t.deltaZ?0:t.wheelDelta?(t.wheelDeltaY||t.wheelDelta)/2:t.detail&&32765>Math.abs(t.detail)?-(20*t.detail):t.detail?-(60*(t.detail/32765)):0}function eC(t,e){var i=e.relatedTarget;if(!i)return!0;try{for(;i&&i!==t;)i=i.parentNode}catch(t){return!1}return i!==t}var eS=j.extend({run:function(t,e,i,n){this.stop(),this._el=t,this._inProgress=!0,this._duration=i||.25,this._easeOutPower=1/Math.max(n||.5,.2),this._startPos=eo(t),this._offset=e.subtract(this._startPos),this._startTime=+new Date,this.fire("start"),this._animate()},stop:function(){this._inProgress&&(this._step(!0),this._complete())},_animate:function(){this._animId=A(this._animate,this),this._step()},_step:function(t){var e=new Date-this._startTime,i=1e3*this._duration;ethis.options.maxZoom))?this.setZoom(t):this},panInsideBounds:function(t,e){this._enforcingBounds=!0;var i=this.getCenter(),n=this._limitCenter(i,this._zoom,q(t));return i.equals(n)||this.panTo(n,e),this._enforcingBounds=!1,this},panInside:function(t,e){var i=F((e=e||{}).paddingTopLeft||e.padding||[0,0]),n=F(e.paddingBottomRight||e.padding||[0,0]),o=this.project(this.getCenter()),s=this.project(t),r=this.getPixelBounds(),a=U([r.min.add(i),r.max.subtract(n)]),h=a.getSize();if(!a.contains(s)){this._enforcingBounds=!0;var l=s.subtract(a.getCenter()),u=a.extend(s).getSize().subtract(h);o.x+=l.x<0?-u.x:u.x,o.y+=l.y<0?-u.y:u.y,this.panTo(this.unproject(o),e),this._enforcingBounds=!1}return this},invalidateSize:function(t){if(!this._loaded)return this;t=e({animate:!1,pan:!0},!0===t?{animate:!0}:t);var i=this.getSize();this._sizeChanged=!0,this._lastCenter=null;var n=this.getSize(),o=i.divideBy(2).round(),s=n.divideBy(2).round(),r=o.subtract(s);return r.x||r.y?(t.animate&&t.pan?this.panBy(r):(t.pan&&this._rawPanBy(r),this.fire("move"),t.debounceMoveend?(clearTimeout(this._sizeTimer),this._sizeTimer=setTimeout(_(this.fire,this,"moveend"),200)):this.fire("moveend")),this.fire("resize",{oldSize:i,newSize:n})):this},stop:function(){return this.setZoom(this._limitZoom(this._zoom)),this.options.zoomSnap||this.fire("viewreset"),this._stop()},locate:function(t){if(t=this._locateOptions=e({timeout:1e4,watch:!1},t),!("geolocation"in navigator))return this._handleGeolocationError({code:0,message:"Geolocation not supported."}),this;var i=_(this._handleGeolocationResponse,this),n=_(this._handleGeolocationError,this);return t.watch?this._locationWatchId=navigator.geolocation.watchPosition(i,n,t):navigator.geolocation.getCurrentPosition(i,n,t),this},stopLocate:function(){return navigator.geolocation&&navigator.geolocation.clearWatch&&navigator.geolocation.clearWatch(this._locationWatchId),this._locateOptions&&(this._locateOptions.setView=!1),this},_handleGeolocationError:function(t){if(this._container._leaflet_id){var e=t.code,i=t.message||(1===e?"permission denied":2===e?"position unavailable":"timeout");this._locateOptions.setView&&!this._loaded&&this.fitWorld(),this.fire("locationerror",{code:e,message:"Geolocation error: "+i+"."})}},_handleGeolocationResponse:function(t){if(this._container._leaflet_id){var e=new G(t.coords.latitude,t.coords.longitude),i=e.toBounds(2*t.coords.accuracy),n=this._locateOptions;if(n.setView){var o=this.getBoundsZoom(i);this.setView(e,n.maxZoom?Math.min(o,n.maxZoom):o)}var s={latlng:e,bounds:i,timestamp:t.timestamp};for(var r in t.coords)"number"==typeof t.coords[r]&&(s[r]=t.coords[r]);this.fire("locationfound",s)}},addHandler:function(t,e){if(!e)return this;var i=this[t]=new e(this);return this._handlers.push(i),this.options[t]&&i.enable(),this},remove:function(){var t;if(this._initEvents(!0),this.options.maxBounds&&this.off("moveend",this._panInsideMaxBounds),this._containerId!==this._container._leaflet_id)throw Error("Map container is being reused by another instance");try{delete this._container._leaflet_id,delete this._containerId}catch(t){this._container._leaflet_id=void 0,this._containerId=void 0}for(t in void 0!==this._locationWatchId&&this.stopLocate(),this._stop(),t1(this._mapPane),this._clearControlPos&&this._clearControlPos(),this._resizeRequest&&(B(this._resizeRequest),this._resizeRequest=null),this._clearHandlers(),this._loaded&&this.fire("unload"),this._layers)this._layers[t].remove();for(t in this._panes)t1(this._panes[t]);return this._layers=[],this._panes=[],delete this._mapPane,delete this._renderer,this},createPane:function(t,e){var i=t0("div","leaflet-pane"+(t?" leaflet-"+t.replace("Pane","")+"-pane":""),e||this._mapPane);return t&&(this._panes[t]=i),i},getCenter:function(){return(this._checkIfLoaded(),this._lastCenter&&!this._moved())?this._lastCenter.clone():this.layerPointToLatLng(this._getCenterLayerPoint())},getZoom:function(){return this._zoom},getBounds:function(){var t=this.getPixelBounds();return new V(this.unproject(t.getBottomLeft()),this.unproject(t.getTopRight()))},getMinZoom:function(){return void 0===this.options.minZoom?this._layersMinZoom||0:this.options.minZoom},getMaxZoom:function(){return void 0===this.options.maxZoom?void 0===this._layersMaxZoom?1/0:this._layersMaxZoom:this.options.maxZoom},getBoundsZoom:function(t,e,i){t=q(t),i=F(i||[0,0]);var n=this.getZoom()||0,o=this.getMinZoom(),s=this.getMaxZoom(),r=t.getNorthWest(),a=t.getSouthEast(),h=this.getSize().subtract(i),l=U(this.project(a,n),this.project(r,n)).getSize(),u=tB.any3d?this.options.zoomSnap:1,c=h.x/l.x,d=h.y/l.y,_=e?Math.max(c,d):Math.min(c,d);return n=this.getScaleZoom(_,n),u&&(n=u/100*Math.round(n/(u/100)),n=e?Math.ceil(n/u)*u:Math.floor(n/u)*u),Math.max(o,Math.min(s,n))},getSize:function(){return(!this._size||this._sizeChanged)&&(this._size=new D(this._container.clientWidth||0,this._container.clientHeight||0),this._sizeChanged=!1),this._size.clone()},getPixelBounds:function(t,e){var i=this._getTopLeftPoint(t,e);return new W(i,i.add(this.getSize()))},getPixelOrigin:function(){return this._checkIfLoaded(),this._pixelOrigin},getPixelWorldBounds:function(t){return this.options.crs.getProjectedBounds(void 0===t?this.getZoom():t)},getPane:function(t){return"string"==typeof t?this._panes[t]:t},getPanes:function(){return this._panes},getContainer:function(){return this._container},getZoomScale:function(t,e){var i=this.options.crs;return e=void 0===e?this._zoom:e,i.scale(t)/i.scale(e)},getScaleZoom:function(t,e){var i=this.options.crs;e=void 0===e?this._zoom:e;var n=i.zoom(t*i.scale(e));return isNaN(n)?1/0:n},project:function(t,e){return e=void 0===e?this._zoom:e,this.options.crs.latLngToPoint(K(t),e)},unproject:function(t,e){return e=void 0===e?this._zoom:e,this.options.crs.pointToLatLng(F(t),e)},layerPointToLatLng:function(t){var e=F(t).add(this.getPixelOrigin());return this.unproject(e)},latLngToLayerPoint:function(t){return this.project(K(t))._round()._subtract(this.getPixelOrigin())},wrapLatLng:function(t){return this.options.crs.wrapLatLng(K(t))},wrapLatLngBounds:function(t){return this.options.crs.wrapLatLngBounds(q(t))},distance:function(t,e){return this.options.crs.distance(K(t),K(e))},containerPointToLayerPoint:function(t){return F(t).subtract(this._getMapPanePos())},layerPointToContainerPoint:function(t){return F(t).add(this._getMapPanePos())},containerPointToLatLng:function(t){var e=this.containerPointToLayerPoint(F(t));return this.layerPointToLatLng(e)},latLngToContainerPoint:function(t){return this.layerPointToContainerPoint(this.latLngToLayerPoint(K(t)))},mouseEventToContainerPoint:function(t){return eT(t,this._container)},mouseEventToLayerPoint:function(t){return this.containerPointToLayerPoint(this.mouseEventToContainerPoint(t))},mouseEventToLatLng:function(t){return this.layerPointToLatLng(this.mouseEventToLayerPoint(t))},_initContainer:function(t){var e=this._container=t$(t);if(e){if(e._leaflet_id)throw Error("Map container is already initialized.")}else throw Error("Map container not found.");ed(e,"scroll",this._onScroll,this),this._containerId=m(e)},_initLayout:function(){var t=this._container;this._fadeAnimated=this.options.fadeAnimation&&tB.any3d,t8(t,"leaflet-container"+(tB.touch?" leaflet-touch":"")+(tB.retina?" leaflet-retina":"")+(tB.ielt9?" leaflet-oldie":"")+(tB.safari?" leaflet-safari":"")+(this._fadeAnimated?" leaflet-fade-anim":""));var e=tQ(t,"position");"absolute"!==e&&"relative"!==e&&"fixed"!==e&&"sticky"!==e&&(t.style.position="relative"),this._initPanes(),this._initControlPos&&this._initControlPos()},_initPanes:function(){var t=this._panes={};this._paneRenderers={},this._mapPane=this.createPane("mapPane",this._container),en(this._mapPane,new D(0,0)),this.createPane("tilePane"),this.createPane("overlayPane"),this.createPane("shadowPane"),this.createPane("markerPane"),this.createPane("tooltipPane"),this.createPane("popupPane"),this.options.markerZoomAnimation||(t8(t.markerPane,"leaflet-zoom-hide"),t8(t.shadowPane,"leaflet-zoom-hide"))},_resetView:function(t,e,i){en(this._mapPane,new D(0,0));var n=!this._loaded;this._loaded=!0,e=this._limitZoom(e),this.fire("viewprereset");var o=this._zoom!==e;this._moveStart(o,i)._move(t,e)._moveEnd(o),this.fire("viewreset"),n&&this.fire("load")},_moveStart:function(t,e){return t&&this.fire("zoomstart"),e||this.fire("movestart"),this},_move:function(t,e,i,n){void 0===e&&(e=this._zoom);var o=this._zoom!==e;return this._zoom=e,this._lastCenter=t,this._pixelOrigin=this._getNewPixelOrigin(t),n?i&&i.pinch&&this.fire("zoom",i):((o||i&&i.pinch)&&this.fire("zoom",i),this.fire("move",i)),this},_moveEnd:function(t){return t&&this.fire("zoomend"),this.fire("moveend")},_stop:function(){return B(this._flyToFrame),this._panAnim&&this._panAnim.stop(),this},_rawPanBy:function(t){en(this._mapPane,this._getMapPanePos().subtract(t))},_getZoomSpan:function(){return this.getMaxZoom()-this.getMinZoom()},_panInsideMaxBounds:function(){this._enforcingBounds||this.panInsideBounds(this.options.maxBounds)},_checkIfLoaded:function(){if(!this._loaded)throw Error("Set map center and zoom first.")},_initEvents:function(t){this._targets={},this._targets[m(this._container)]=this;var e=t?ep:ed;e(this._container,"click dblclick mousedown mouseup mouseover mouseout mousemove contextmenu keypress keydown keyup",this._handleDOMEvent,this),this.options.trackResize&&e(window,"resize",this._onResize,this),tB.any3d&&this.options.transform3DLimit&&(t?this.off:this.on).call(this,"moveend",this._onMoveEnd)},_onResize:function(){B(this._resizeRequest),this._resizeRequest=A(function(){this.invalidateSize({debounceMoveend:!0})},this)},_onScroll:function(){this._container.scrollTop=0,this._container.scrollLeft=0},_onMoveEnd:function(){var t=this._getMapPanePos();Math.max(Math.abs(t.x),Math.abs(t.y))>=this.options.transform3DLimit&&this._resetView(this.getCenter(),this.getZoom())},_findEventTargets:function(t,e){for(var i,n=[],o="mouseout"===e||"mouseover"===e,s=t.target||t.srcElement,r=!1;s;){if((i=this._targets[m(s)])&&("click"===e||"preclick"===e)&&this._draggableMoved(i)){r=!0;break}if(i&&i.listens(e,!0)&&(o&&!eC(s,t)||(n.push(i),o)))break;if(s===this._container)break;s=s.parentNode}return!n.length&&!r&&!o&&this.listens(e,!0)&&(n=[this]),n},_isClickDisabled:function(t){for(;t&&t!==this._container;){if(t._leaflet_disable_click)return!0;t=t.parentNode}},_handleDOMEvent:function(t){var e=t.target||t.srcElement;if(!(!this._loaded||e._leaflet_disable_events||"click"===t.type&&this._isClickDisabled(e))){var i=t.type;"mousedown"===i&&eh(e),this._fireDOMEvent(t,i)}},_mouseEvents:["click","dblclick","mouseover","mouseout","contextmenu"],_fireDOMEvent:function(t,i,n){if("click"===t.type){var o=e({},t);o.type="preclick",this._fireDOMEvent(o,o.type,n)}var s=this._findEventTargets(t,i);if(n){for(var r=[],a=0;a=Math.abs(r.x)&&1>=Math.abs(r.y)?t:this.unproject(n.add(r),e)},_limitOffset:function(t,e){if(!e)return t;var i=this.getPixelBounds(),n=new W(i.min.add(t),i.max.add(t));return t.add(this._getBoundsOffset(n,e))},_getBoundsOffset:function(t,e,i){var n=U(this.project(e.getNorthEast(),i),this.project(e.getSouthWest(),i)),o=n.min.subtract(t.min),s=n.max.subtract(t.max);return new D(this._rebound(o.x,-s.x),this._rebound(o.y,-s.y))},_rebound:function(t,e){return t+e>0?Math.round(t-e)/2:Math.max(0,Math.ceil(t))-Math.max(0,Math.floor(e))},_limitZoom:function(t){var e=this.getMinZoom(),i=this.getMaxZoom(),n=tB.any3d?this.options.zoomSnap:1;return n&&(t=Math.round(t/n)*n),Math.max(e,Math.min(i,t))},_onPanTransitionStep:function(){this.fire("move")},_onPanTransitionEnd:function(){t9(this._mapPane,"leaflet-pan-anim"),this.fire("moveend")},_tryAnimatedPan:function(t,e){var i=this._getCenterOffset(t)._trunc();return(!0===(e&&e.animate)||!!this.getSize().contains(i))&&(this.panBy(i,e),!0)},_createAnimProxy:function(){var t=this._proxy=t0("div","leaflet-proxy leaflet-zoom-animated");this._panes.mapPane.appendChild(t),this.on("zoomanim",function(t){var e=this._proxy.style[tY];ei(this._proxy,this.project(t.center,t.zoom),this.getZoomScale(t.zoom,1)),e===this._proxy.style[tY]&&this._animatingZoom&&this._onZoomTransitionEnd()},this),this.on("load moveend",this._animMoveEnd,this),this._on("unload",this._destroyAnimProxy,this)},_destroyAnimProxy:function(){t1(this._proxy),this.off("load moveend",this._animMoveEnd,this),delete this._proxy},_animMoveEnd:function(){var t=this.getCenter(),e=this.getZoom();ei(this._proxy,this.project(t,e),this.getZoomScale(e,1))},_catchTransitionEnd:function(t){this._animatingZoom&&t.propertyName.indexOf("transform")>=0&&this._onZoomTransitionEnd()},_nothingToAnimate:function(){return!this._container.getElementsByClassName("leaflet-zoom-animated").length},_tryAnimatedZoom:function(t,e,i){if(this._animatingZoom)return!0;if(i=i||{},!this._zoomAnimated||!1===i.animate||this._nothingToAnimate()||Math.abs(e-this._zoom)>this.options.zoomAnimationThreshold)return!1;var n=this.getZoomScale(e),o=this._getCenterOffset(t)._divideBy(1-1/n);return(!0===i.animate||!!this.getSize().contains(o))&&(A(function(){this._moveStart(!0,i.noMoveStart||!1)._animateZoom(t,e,!0)},this),!0)},_animateZoom:function(t,e,i,n){this._mapPane&&(i&&(this._animatingZoom=!0,this._animateToCenter=t,this._animateToZoom=e,t8(this._mapPane,"leaflet-zoom-anim")),this.fire("zoomanim",{center:t,zoom:e,noUpdate:n}),this._tempFireZoomEvent||(this._tempFireZoomEvent=this._zoom!==this._animateToZoom),this._move(this._animateToCenter,this._animateToZoom,void 0,!0),setTimeout(_(this._onZoomTransitionEnd,this),250))},_onZoomTransitionEnd:function(){this._animatingZoom&&(this._mapPane&&t9(this._mapPane,"leaflet-zoom-anim"),this._animatingZoom=!1,this._move(this._animateToCenter,this._animateToZoom,void 0,!0),this._tempFireZoomEvent&&this.fire("zoom"),delete this._tempFireZoomEvent,this.fire("move"),this._moveEnd(!0))}}),eE=R.extend({options:{position:"topright"},initialize:function(t){b(this,t)},getPosition:function(){return this.options.position},setPosition:function(t){var e=this._map;return e&&e.removeControl(this),this.options.position=t,e&&e.addControl(this),this},getContainer:function(){return this._container},addTo:function(t){this.remove(),this._map=t;var e=this._container=this.onAdd(t),i=this.getPosition(),n=t._controlCorners[i];return t8(e,"leaflet-control"),-1!==i.indexOf("bottom")?n.insertBefore(e,n.firstChild):n.appendChild(e),this._map.on("unload",this.remove,this),this},remove:function(){return this._map&&(t1(this._container),this.onRemove&&this.onRemove(this._map),this._map.off("unload",this.remove,this),this._map=null),this},_refocusOnMap:function(t){this._map&&t&&t.screenX>0&&t.screenY>0&&this._map.getContainer().focus()}}),ek=function(t){return new eE(t)};eZ.include({addControl:function(t){return t.addTo(this),this},removeControl:function(t){return t.remove(),this},_initControlPos:function(){var t=this._controlCorners={},e="leaflet-",i=this._controlContainer=t0("div",e+"control-container",this._container);function n(n,o){t[n+o]=t0("div",e+n+" "+e+o,i)}n("top","left"),n("top","right"),n("bottom","left"),n("bottom","right")},_clearControlPos:function(){for(var t in this._controlCorners)t1(this._controlCorners[t]);t1(this._controlContainer),delete this._controlCorners,delete this._controlContainer}});var eO=eE.extend({options:{collapsed:!0,position:"topright",autoZIndex:!0,hideSingleBase:!1,sortLayers:!1,sortFunction:function(t,e,i,n){return i1,this._baseLayersList.style.display=t?"":"none"),this._separator.style.display=e&&t?"":"none",this},_onLayerChange:function(t){this._handlingClick||this._update();var e=this._getLayer(m(t.target)),i=e.overlay?"add"===t.type?"overlayadd":"overlayremove":"add"===t.type?"baselayerchange":null;i&&this._map.fire(i,e)},_createRadioElement:function(t,e){var i=document.createElement("div");return i.innerHTML='",i.firstChild},_addItem:function(t){var e,i=document.createElement("label"),n=this._map.hasLayer(t.layer);t.overlay?((e=document.createElement("input")).type="checkbox",e.className="leaflet-control-layers-selector",e.defaultChecked=n):e=this._createRadioElement("leaflet-base-layers_"+m(this),n),this._layerControlInputs.push(e),e.layerId=m(t.layer),ed(e,"click",this._onInputClick,this);var o=document.createElement("span");o.innerHTML=" "+t.name;var s=document.createElement("span");return i.appendChild(s),s.appendChild(e),s.appendChild(o),(t.overlay?this._overlaysList:this._baseLayersList).appendChild(i),this._checkDisabledLayers(),i},_onInputClick:function(){if(!this._preventClick){var t,e,i=this._layerControlInputs,n=[],o=[];this._handlingClick=!0;for(var s=i.length-1;s>=0;s--)t=i[s],e=this._getLayer(t.layerId).layer,t.checked?n.push(e):t.checked||o.push(e);for(s=0;s=0;o--)t=i[o],e=this._getLayer(t.layerId).layer,t.disabled=void 0!==e.options.minZoom&&ne.options.maxZoom},_expandIfNotCollapsed:function(){return this._map&&!this.options.collapsed&&this.expand(),this},_expandSafely:function(){var t=this._section;this._preventClick=!0,ed(t,"click",eb),this.expand();var e=this;setTimeout(function(){ep(t,"click",eb),e._preventClick=!1})}}),eI=eE.extend({options:{position:"topleft",zoomInText:'',zoomInTitle:"Zoom in",zoomOutText:'',zoomOutTitle:"Zoom out"},onAdd:function(t){var e="leaflet-control-zoom",i=t0("div",e+" leaflet-bar"),n=this.options;return this._zoomInButton=this._createButton(n.zoomInText,n.zoomInTitle,e+"-in",i,this._zoomIn),this._zoomOutButton=this._createButton(n.zoomOutText,n.zoomOutTitle,e+"-out",i,this._zoomOut),this._updateDisabled(),t.on("zoomend zoomlevelschange",this._updateDisabled,this),i},onRemove:function(t){t.off("zoomend zoomlevelschange",this._updateDisabled,this)},disable:function(){return this._disabled=!0,this._updateDisabled(),this},enable:function(){return this._disabled=!1,this._updateDisabled(),this},_zoomIn:function(t){!this._disabled&&this._map._zoomthis._map.getMinZoom()&&this._map.zoomOut(this._map.options.zoomDelta*(t.shiftKey?3:1))},_createButton:function(t,e,i,n,o){var s=t0("a",i,n);return s.innerHTML=t,s.href="#",s.title=e,s.setAttribute("role","button"),s.setAttribute("aria-label",e),ew(s),ed(s,"click",eP),ed(s,"click",o,this),ed(s,"click",this._refocusOnMap,this),s},_updateDisabled:function(){var t=this._map,e="leaflet-disabled";t9(this._zoomInButton,e),t9(this._zoomOutButton,e),this._zoomInButton.setAttribute("aria-disabled","false"),this._zoomOutButton.setAttribute("aria-disabled","false"),(this._disabled||t._zoom===t.getMinZoom())&&(t8(this._zoomOutButton,e),this._zoomOutButton.setAttribute("aria-disabled","true")),(this._disabled||t._zoom===t.getMaxZoom())&&(t8(this._zoomInButton,e),this._zoomInButton.setAttribute("aria-disabled","true"))}});eZ.mergeOptions({zoomControl:!0}),eZ.addInitHook(function(){this.options.zoomControl&&(this.zoomControl=new eI,this.addControl(this.zoomControl))});var eA=eE.extend({options:{position:"bottomleft",maxWidth:100,metric:!0,imperial:!0},onAdd:function(t){var e="leaflet-control-scale",i=t0("div",e),n=this.options;return this._addScales(n,e+"-line",i),t.on(n.updateWhenIdle?"moveend":"move",this._update,this),t.whenReady(this._update,this),i},onRemove:function(t){t.off(this.options.updateWhenIdle?"moveend":"move",this._update,this)},_addScales:function(t,e,i){t.metric&&(this._mScale=t0("div",e,i)),t.imperial&&(this._iScale=t0("div",e,i))},_update:function(){var t=this._map,e=t.getSize().y/2,i=t.distance(t.containerPointToLatLng([0,e]),t.containerPointToLatLng([this.options.maxWidth,e]));this._updateScales(i)},_updateScales:function(t){this.options.metric&&t&&this._updateMetric(t),this.options.imperial&&t&&this._updateImperial(t)},_updateMetric:function(t){var e=this._getRoundNum(t);this._updateScale(this._mScale,e<1e3?e+" m":e/1e3+" km",e/t)},_updateImperial:function(t){var e,i,n,o=3.2808399*t;o>5280?(e=o/5280,i=this._getRoundNum(e),this._updateScale(this._iScale,i+" mi",i/e)):(n=this._getRoundNum(o),this._updateScale(this._iScale,n+" ft",n/o))},_updateScale:function(t,e,i){t.style.width=Math.round(this.options.maxWidth*i)+"px",t.innerHTML=e},_getRoundNum:function(t){var e=Math.pow(10,(Math.floor(t)+"").length-1),i=t/e;return e*(i=i>=10?10:i>=5?5:i>=3?3:i>=2?2:1)}}),eB=eE.extend({options:{position:"bottomright",prefix:''+(tB.inlineSvg?' ':"")+"Leaflet"},initialize:function(t){b(this,t),this._attributions={}},onAdd:function(t){for(var e in t.attributionControl=this,this._container=t0("div","leaflet-control-attribution"),ew(this._container),t._layers)t._layers[e].getAttribution&&this.addAttribution(t._layers[e].getAttribution());return this._update(),t.on("layeradd",this._addAttribution,this),this._container},onRemove:function(t){t.off("layeradd",this._addAttribution,this)},_addAttribution:function(t){t.layer.getAttribution&&(this.addAttribution(t.layer.getAttribution()),t.layer.once("remove",function(){this.removeAttribution(t.layer.getAttribution())},this))},setPrefix:function(t){return this.options.prefix=t,this._update(),this},addAttribution:function(t){return t&&(this._attributions[t]||(this._attributions[t]=0),this._attributions[t]++,this._update()),this},removeAttribution:function(t){return t&&this._attributions[t]&&(this._attributions[t]--,this._update()),this},_update:function(){if(this._map){var t=[];for(var e in this._attributions)this._attributions[e]&&t.push(e);var i=[];this.options.prefix&&i.push(this.options.prefix),t.length&&i.push(t.join(", ")),this._container.innerHTML=i.join(' ')}}});eZ.mergeOptions({attributionControl:!0}),eZ.addInitHook(function(){this.options.attributionControl&&new eB().addTo(this)}),eE.Layers=eO,eE.Zoom=eI,eE.Scale=eA,eE.Attribution=eB,ek.layers=function(t,e,i){return new eO(t,e,i)},ek.zoom=function(t){return new eI(t)},ek.scale=function(t){return new eA(t)},ek.attribution=function(t){return new eB(t)};var eR=R.extend({initialize:function(t){this._map=t},enable:function(){return this._enabled||(this._enabled=!0,this.addHooks()),this},disable:function(){return this._enabled&&(this._enabled=!1,this.removeHooks()),this},enabled:function(){return!!this._enabled}});eR.addTo=function(t,e){return t.addHandler(e,this),this};var eN=tB.touch?"touchstart mousedown":"mousedown",ej=j.extend({options:{clickTolerance:3},initialize:function(t,e,i,n){b(this,n),this._element=t,this._dragStartTarget=e||t,this._preventOutline=i},enable:function(){this._enabled||(ed(this._dragStartTarget,eN,this._onDown,this),this._enabled=!0)},disable:function(){this._enabled&&(ej._dragging===this&&this.finishDrag(!0),ep(this._dragStartTarget,eN,this._onDown,this),this._enabled=!1,this._moved=!1)},_onDown:function(t){if(!(!this._enabled||(this._moved=!1,t4(this._element,"leaflet-zoom-anim")))){if(t.touches&&1!==t.touches.length){ej._dragging===this&&this.finishDrag();return}if(!ej._dragging&&!t.shiftKey&&(1===t.which||1===t.button||t.touches)&&(ej._dragging=this,this._preventOutline&&eh(this._element),er(),i(),!this._moving)){this.fire("down");var e=t.touches?t.touches[0]:t,n=eu(this._element);this._startPoint=new D(e.clientX,e.clientY),this._startPos=eo(this._element),this._parentScale=ec(n);var o="mousedown"===t.type;ed(document,o?"mousemove":"touchmove",this._onMove,this),ed(document,o?"mouseup":"touchend touchcancel",this._onUp,this)}}},_onMove:function(t){if(this._enabled){if(t.touches&&t.touches.length>1){this._moved=!0;return}var e=t.touches&&1===t.touches.length?t.touches[0]:t,i=new D(e.clientX,e.clientY)._subtract(this._startPoint);(i.x||i.y)&&(Math.abs(i.x)+Math.abs(i.y)typeof Uint8Array?Uint8Array:Array)(i);n[0]=n[i-1]=1,function t(e,i,n,o,s){var r,a,h,l=0;for(a=o+1;a<=s-1;a++)(h=eK(e[a],e[o],e[s],!0))>l&&(r=a,l=h);l>n&&(i[r]=1,t(e,i,n,o,r),t(e,i,n,r,s))}(t,n,e,0,i-1);var o,s=[];for(o=0;oe&&(i.push(t[n]),o=n);return oe.max.x&&(i|=2),t.ye.max.y&&(i|=8),i}function eK(t,e,i,n){var o,s=e.x,r=e.y,a=i.x-s,h=i.y-r,l=a*a+h*h;return l>0&&((o=((t.x-s)*a+(t.y-r)*h)/l)>1?(s=i.x,r=i.y):o>0&&(s+=a*o,r+=h*o)),a=t.x-s,h=t.y-r,n?a*a+h*h:new D(s,r)}function eY(t){return!z(t[0])||"object"!=typeof t[0][0]&&void 0!==t[0][0]}function eJ(t){return console.warn("Deprecated use of _flat, please use L.LineUtil.isFlat instead."),eY(t)}function eX(t,e){if(!t||0===t.length)throw Error("latlngs not passed");eY(t)||(console.warn("latlngs are not flat! Only the first ring will be used"),t=t[0]);var i,n,o,s,r,a,h,l,u=K([0,0]),c=q(t);c.getNorthWest().distanceTo(c.getSouthWest())*c.getNorthEast().distanceTo(c.getNorthWest())<1700&&(u=eF(t));var d=t.length,_=[];for(i=0;in){h=(s-n)/o,l=[a.x-h*(a.x-r.x),a.y-h*(a.y-r.y)];break}var m=e.unproject(F(l));return K([m.lat+u.lat,m.lng+u.lng])}var e$={project:function(t){return new D(t.lng,t.lat)},unproject:function(t){return new G(t.y,t.x)},bounds:new W([-180,-90],[180,90])},eQ={R:6378137,R_MINOR:6356752.314245179,bounds:new W([-20037508.34279,-15496570.73972],[20037508.34279,18764656.23138]),project:function(t){var e=Math.PI/180,i=this.R,n=t.lat*e,o=this.R_MINOR/i,s=Math.sqrt(1-o*o),r=s*Math.sin(n);return n=-i*Math.log(Math.max(Math.tan(Math.PI/4-n/2)/Math.pow((1-r)/(1+r),s/2),1e-10)),new D(t.lng*e*i,n)},unproject:function(t){for(var e,i=180/Math.PI,n=this.R,o=this.R_MINOR/n,s=Math.sqrt(1-o*o),r=Math.exp(-t.y/n),a=Math.PI/2-2*Math.atan(r),h=0,l=.1;h<15&&Math.abs(l)>1e-7;h++)l=Math.PI/2-2*Math.atan(r*(e=Math.pow((1-(e=s*Math.sin(a)))/(1+e),s/2)))-a,a+=l;return new G(a*i,t.x*i/n)}},e0=e({},J,{code:"EPSG:3395",projection:eQ,transformation:Q(c=.5/(Math.PI*eQ.R),.5,-c,.5)}),e1=e({},J,{code:"EPSG:4326",projection:e$,transformation:Q(1/180,1,-1/180,.5)}),e2=e({},Y,{projection:e$,transformation:Q(1,0,-1,0),scale:function(t){return Math.pow(2,t)},zoom:function(t){return Math.log(t)/Math.LN2},distance:function(t,e){var i=e.lng-t.lng,n=e.lat-t.lat;return Math.sqrt(i*i+n*n)},infinite:!0});Y.Earth=J,Y.EPSG3395=e0,Y.EPSG3857=tt,Y.EPSG900913=te,Y.EPSG4326=e1,Y.Simple=e2;var e3=j.extend({options:{pane:"overlayPane",attribution:null,bubblingMouseEvents:!0},addTo:function(t){return t.addLayer(this),this},remove:function(){return this.removeFrom(this._map||this._mapToAdd)},removeFrom:function(t){return t&&t.removeLayer(this),this},getPane:function(t){return this._map.getPane(t?this.options[t]||t:this.options.pane)},addInteractiveTarget:function(t){return this._map._targets[m(t)]=this,this},removeInteractiveTarget:function(t){return delete this._map._targets[m(t)],this},getAttribution:function(){return this.options.attribution},_layerAdd:function(t){var e=t.target;if(e.hasLayer(this)){if(this._map=e,this._zoomAnimated=e._zoomAnimated,this.getEvents){var i=this.getEvents();e.on(i,this),this.once("remove",function(){e.off(i,this)},this)}this.onAdd(e),this.fire("add"),e.fire("layeradd",{layer:this})}}});eZ.include({addLayer:function(t){if(!t._layerAdd)throw Error("The provided object is not a Layer.");var e=m(t);return this._layers[e]||(this._layers[e]=t,t._mapToAdd=this,t.beforeAdd&&t.beforeAdd(this),this.whenReady(t._layerAdd,t)),this},removeLayer:function(t){var e=m(t);return this._layers[e]&&(this._loaded&&t.onRemove(this),delete this._layers[e],this._loaded&&(this.fire("layerremove",{layer:t}),t.fire("remove")),t._map=t._mapToAdd=null),this},hasLayer:function(t){return m(t)in this._layers},eachLayer:function(t,e){for(var i in this._layers)t.call(e,this._layers[i]);return this},_addLayers:function(t){t=t?z(t)?t:[t]:[];for(var e=0,i=t.length;ethis._layersMaxZoom&&this.setZoom(this._layersMaxZoom),void 0===this.options.minZoom&&this._layersMinZoom&&this.getZoom()=2&&e[0]instanceof G&&e[0].equals(e[i-1])&&e.pop(),e},_setLatLngs:function(t){io.prototype._setLatLngs.call(this,t),eY(this._latlngs)&&(this._latlngs=[this._latlngs])},_defaultShape:function(){return eY(this._latlngs[0])?this._latlngs[0]:this._latlngs[0][0]},_clipPoints:function(){var t=this._renderer._bounds,e=this.options.weight,i=new D(e,e);if(t=new W(t.min.subtract(i),t.max.add(i)),this._parts=[],this._pxBounds&&this._pxBounds.intersects(t)){if(this.options.noClip){this._parts=this._rings;return}for(var n,o=0,s=this._rings.length;ot.y!=n.y>t.y&&t.x<(n.x-i.x)*(t.y-i.y)/(n.y-i.y)+i.x&&(l=!l);return l||io.prototype._containsPoint.call(this,t,!0)}}),ir=e4.extend({initialize:function(t,e){b(this,e),this._layers={},t&&this.addData(t)},addData:function(t){var e,i,n,o=z(t)?t:t.features;if(o){for(e=0,i=o.length;e0&&o.push(o[0].slice()),o}function i_(t,i){return t.feature?e({},t.feature,{geometry:i}):ip(i)}function ip(t){return"Feature"===t.type||"FeatureCollection"===t.type?t:{type:"Feature",properties:{},geometry:t}}var im={toGeoJSON:function(t){return i_(this,{type:"Point",coordinates:ic(this.getLatLng(),t)})}};function ig(t,e){return new ir(t,e)}e7.include(im),ii.include(im),ie.include(im),io.include({toGeoJSON:function(t){var e=!eY(this._latlngs),i=id(this._latlngs,+!!e,!1,t);return i_(this,{type:(e?"Multi":"")+"LineString",coordinates:i})}}),is.include({toGeoJSON:function(t){var e=!eY(this._latlngs),i=e&&!eY(this._latlngs[0]),n=id(this._latlngs,i?2:+!!e,!0,t);return e||(n=[n]),i_(this,{type:(i?"Multi":"")+"Polygon",coordinates:n})}}),e5.include({toMultiPoint:function(t){var e=[];return this.eachLayer(function(i){e.push(i.toGeoJSON(t).geometry.coordinates)}),i_(this,{type:"MultiPoint",coordinates:e})},toGeoJSON:function(t){var e=this.feature&&this.feature.geometry&&this.feature.geometry.type;if("MultiPoint"===e)return this.toMultiPoint(t);var i="GeometryCollection"===e,n=[];return(this.eachLayer(function(e){if(e.toGeoJSON){var o=e.toGeoJSON(t);if(i)n.push(o.geometry);else{var s=ip(o);"FeatureCollection"===s.type?n.push.apply(n,s.features):n.push(s)}}}),i)?i_(this,{geometries:n,type:"GeometryCollection"}):{type:"FeatureCollection",features:n}}});var iv=e3.extend({options:{opacity:1,alt:"",interactive:!1,crossOrigin:!1,errorOverlayUrl:"",zIndex:1,className:""},initialize:function(t,e,i){this._url=t,this._bounds=q(e),b(this,i)},onAdd:function(){!this._image&&(this._initImage(),this.options.opacity<1&&this._updateOpacity()),this.options.interactive&&(t8(this._image,"leaflet-interactive"),this.addInteractiveTarget(this._image)),this.getPane().appendChild(this._image),this._reset()},onRemove:function(){t1(this._image),this.options.interactive&&this.removeInteractiveTarget(this._image)},setOpacity:function(t){return this.options.opacity=t,this._image&&this._updateOpacity(),this},setStyle:function(t){return t.opacity&&this.setOpacity(t.opacity),this},bringToFront:function(){return this._map&&t3(this._image),this},bringToBack:function(){return this._map&&t5(this._image),this},setUrl:function(t){return this._url=t,this._image&&(this._image.src=t),this},setBounds:function(t){return this._bounds=q(t),this._map&&this._reset(),this},getEvents:function(){var t={zoom:this._reset,viewreset:this._reset};return this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},setZIndex:function(t){return this.options.zIndex=t,this._updateZIndex(),this},getBounds:function(){return this._bounds},getElement:function(){return this._image},_initImage:function(){var t="IMG"===this._url.tagName,e=this._image=t?this._url:t0("img");if(t8(e,"leaflet-image-layer"),this._zoomAnimated&&t8(e,"leaflet-zoom-animated"),this.options.className&&t8(e,this.options.className),e.onselectstart=v,e.onmousemove=v,e.onload=_(this.fire,this,"load"),e.onerror=_(this._overlayOnError,this,"error"),(this.options.crossOrigin||""===this.options.crossOrigin)&&(e.crossOrigin=!0===this.options.crossOrigin?"":this.options.crossOrigin),this.options.zIndex&&this._updateZIndex(),t){this._url=e.src;return}e.src=this._url,e.alt=this.options.alt},_animateZoom:function(t){var e=this._map.getZoomScale(t.zoom),i=this._map._latLngBoundsToNewLayerBounds(this._bounds,t.zoom,t.center).min;ei(this._image,i,e)},_reset:function(){var t=this._image,e=new W(this._map.latLngToLayerPoint(this._bounds.getNorthWest()),this._map.latLngToLayerPoint(this._bounds.getSouthEast())),i=e.getSize();en(t,e.min),t.style.width=i.x+"px",t.style.height=i.y+"px"},_updateOpacity:function(){et(this._image,this.options.opacity)},_updateZIndex:function(){this._image&&void 0!==this.options.zIndex&&null!==this.options.zIndex&&(this._image.style.zIndex=this.options.zIndex)},_overlayOnError:function(){this.fire("error");var t=this.options.errorOverlayUrl;t&&this._url!==t&&(this._url=t,this._image.src=t)},getCenter:function(){return this._bounds.getCenter()}}),iy=iv.extend({options:{autoplay:!0,loop:!0,keepAspectRatio:!0,muted:!1,playsInline:!0},_initImage:function(){var t="VIDEO"===this._url.tagName,e=this._image=t?this._url:t0("video");if(t8(e,"leaflet-image-layer"),this._zoomAnimated&&t8(e,"leaflet-zoom-animated"),this.options.className&&t8(e,this.options.className),e.onselectstart=v,e.onmousemove=v,e.onloadeddata=_(this.fire,this,"load"),t){for(var i=e.getElementsByTagName("source"),n=[],o=0;o0?n:[e.src];return}z(this._url)||(this._url=[this._url]),!this.options.keepAspectRatio&&Object.prototype.hasOwnProperty.call(e.style,"objectFit")&&(e.style.objectFit="fill"),e.autoplay=!!this.options.autoplay,e.loop=!!this.options.loop,e.muted=!!this.options.muted,e.playsInline=!!this.options.playsInline;for(var s=0;so?(e.height=o+"px",t8(t,s)):t9(t,s),this._containerWidth=this._container.offsetWidth},_animateZoom:function(t){var e=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center),i=this._getAnchor();en(this._container,e.add(i))},_adjustPan:function(){if(this.options.autoPan){if(this._map._panAnim&&this._map._panAnim.stop(),this._autopanning){this._autopanning=!1;return}var t=this._map,e=parseInt(tQ(this._container,"marginBottom"),10)||0,i=this._container.offsetHeight+e,n=this._containerWidth,o=new D(this._containerLeft,-i-this._containerBottom);o._add(eo(this._container));var s=t.layerPointToContainerPoint(o),r=F(this.options.autoPanPadding),a=F(this.options.autoPanPaddingTopLeft||r),h=F(this.options.autoPanPaddingBottomRight||r),l=t.getSize(),u=0,c=0;s.x+n+h.x>l.x&&(u=s.x+n-l.x+h.x),s.x-u-a.x<0&&(u=s.x-a.x),s.y+i+h.y>l.y&&(c=s.y+i-l.y+h.y),s.y-c-a.y<0&&(c=s.y-a.y),(u||c)&&(this.options.keepInView&&(this._autopanning=!0),t.fire("autopanstart").panBy([u,c]))}},_getAnchor:function(){return F(this._source&&this._source._getPopupAnchor?this._source._getPopupAnchor():[0,0])}});eZ.mergeOptions({closePopupOnClick:!0}),eZ.include({openPopup:function(t,e,i){return this._initOverlay(ib,t,e,i).openOn(this),this},closePopup:function(t){return t=arguments.length?t:this._popup,t&&t.close(),this}}),e3.include({bindPopup:function(t,e){return this._popup=this._initOverlay(ib,this._popup,t,e),this._popupHandlersAdded||(this.on({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!0),this},unbindPopup:function(){return this._popup&&(this.off({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!1,this._popup=null),this},openPopup:function(t){return this._popup&&(this instanceof e4||(this._popup._source=this),this._popup._prepareOpen(t||this._latlng)&&this._popup.openOn(this._map)),this},closePopup:function(){return this._popup&&this._popup.close(),this},togglePopup:function(){return this._popup&&this._popup.toggle(this),this},isPopupOpen:function(){return!!this._popup&&this._popup.isOpen()},setPopupContent:function(t){return this._popup&&this._popup.setContent(t),this},getPopup:function(){return this._popup},_openPopup:function(t){if(this._popup&&this._map){eP(t);var e=t.layer||t.target;if(this._popup._source===e&&!(e instanceof it))return void(this._map.hasLayer(this._popup)?this.closePopup():this.openPopup(t.latlng));this._popup._source=e,this.openPopup(t.latlng)}},_movePopup:function(t){this._popup.setLatLng(t.latlng)},_onKeyPress:function(t){13===t.originalEvent.keyCode&&this._openPopup(t)}});var iP=iw.extend({options:{pane:"tooltipPane",offset:[0,0],direction:"auto",permanent:!1,sticky:!1,opacity:.9},onAdd:function(t){iw.prototype.onAdd.call(this,t),this.setOpacity(this.options.opacity),t.fire("tooltipopen",{tooltip:this}),this._source&&(this.addEventParent(this._source),this._source.fire("tooltipopen",{tooltip:this},!0))},onRemove:function(t){iw.prototype.onRemove.call(this,t),t.fire("tooltipclose",{tooltip:this}),this._source&&(this.removeEventParent(this._source),this._source.fire("tooltipclose",{tooltip:this},!0))},getEvents:function(){var t=iw.prototype.getEvents.call(this);return this.options.permanent||(t.preclick=this.close),t},_initLayout:function(){var t="leaflet-tooltip "+(this.options.className||"")+" leaflet-zoom-"+(this._zoomAnimated?"animated":"hide");this._contentNode=this._container=t0("div",t),this._container.setAttribute("role","tooltip"),this._container.setAttribute("id","leaflet-tooltip-"+m(this))},_updateLayout:function(){},_adjustPan:function(){},_setPosition:function(t){var e,i,n=this._map,o=this._container,s=n.latLngToContainerPoint(n.getCenter()),r=n.layerPointToContainerPoint(t),a=this.options.direction,h=o.offsetWidth,l=o.offsetHeight,u=F(this.options.offset),c=this._getAnchor();"top"===a?(e=h/2,i=l):"bottom"===a?(e=h/2,i=0):("center"===a?e=h/2:"right"===a?e=0:"left"===a?e=h:r.xthis.options.maxZoom||in&&this._retainParent(o,s,r,n))},_retainChildren:function(t,e,i,n){for(var o=2*t;o<2*t+2;o++)for(var s=2*e;s<2*e+2;s++){var r=new D(o,s);r.z=i+1;var a=this._tileCoordsToKey(r),h=this._tiles[a];if(h&&h.active){h.retain=!0;continue}h&&h.loaded&&(h.retain=!0),i+1this.options.maxZoom||void 0!==this.options.minZoom&&o1)return void this._setView(t,i);for(var c=o.min.y;c<=o.max.y;c++)for(var d=o.min.x;d<=o.max.x;d++){var _=new D(d,c);if(_.z=this._tileZoom,this._isValidTile(_)){var p=this._tiles[this._tileCoordsToKey(_)];p?p.current=!0:r.push(_)}}if(r.sort(function(t,e){return t.distanceTo(s)-e.distanceTo(s)}),0!==r.length){this._loading||(this._loading=!0,this.fire("loading"));var m=document.createDocumentFragment();for(d=0;di.max.x)||!e.wrapLat&&(t.yi.max.y))return!1}if(!this.options.bounds)return!0;var n=this._tileCoordsToBounds(t);return q(this.options.bounds).overlaps(n)},_keyToBounds:function(t){return this._tileCoordsToBounds(this._keyToTileCoords(t))},_tileCoordsToNwSe:function(t){var e=this._map,i=this.getTileSize(),n=t.scaleBy(i),o=n.add(i);return[e.unproject(n,t.z),e.unproject(o,t.z)]},_tileCoordsToBounds:function(t){var e=this._tileCoordsToNwSe(t),i=new V(e[0],e[1]);return this.options.noWrap||(i=this._map.wrapLatLngBounds(i)),i},_tileCoordsToKey:function(t){return t.x+":"+t.y+":"+t.z},_keyToTileCoords:function(t){var e=t.split(":"),i=new D(+e[0],+e[1]);return i.z=+e[2],i},_removeTile:function(t){var e=this._tiles[t];e&&(t1(e.el),delete this._tiles[t],this.fire("tileunload",{tile:e.el,coords:this._keyToTileCoords(t)}))},_initTile:function(t){t8(t,"leaflet-tile");var e=this.getTileSize();t.style.width=e.x+"px",t.style.height=e.y+"px",t.onselectstart=v,t.onmousemove=v,tB.ielt9&&this.options.opacity<1&&et(t,this.options.opacity)},_addTile:function(t,e){var i=this._getTilePos(t),n=this._tileCoordsToKey(t),o=this.createTile(this._wrapCoords(t),_(this._tileReady,this,t));this._initTile(o),this.createTile.length<2&&A(_(this._tileReady,this,t,null,o)),en(o,i),this._tiles[n]={el:o,coords:t,current:!0},e.appendChild(o),this.fire("tileloadstart",{tile:o,coords:t})},_tileReady:function(t,e,i){e&&this.fire("tileerror",{error:e,tile:i,coords:t});var n=this._tileCoordsToKey(t);(i=this._tiles[n])&&(i.loaded=+new Date,this._map._fadeAnimated?(et(i.el,0),B(this._fadeFrame),this._fadeFrame=A(this._updateOpacity,this)):(i.active=!0,this._pruneTiles()),e||(t8(i.el,"leaflet-tile-loaded"),this.fire("tileload",{tile:i.el,coords:t})),this._noTilesToLoad()&&(this._loading=!1,this.fire("load"),tB.ielt9||!this._map._fadeAnimated?A(this._pruneTiles,this):setTimeout(_(this._pruneTiles,this),250)))},_getTilePos:function(t){return t.scaleBy(this.getTileSize()).subtract(this._level.origin)},_wrapCoords:function(t){var e=new D(this._wrapX?g(t.x,this._wrapX):t.x,this._wrapY?g(t.y,this._wrapY):t.y);return e.z=t.z,e},_pxBoundsToTileRange:function(t){var e=this.getTileSize();return new W(t.min.unscaleBy(e).floor(),t.max.unscaleBy(e).ceil().subtract([1,1]))},_noTilesToLoad:function(){for(var t in this._tiles)if(!this._tiles[t].loaded)return!1;return!0}}),iM=iT.extend({options:{minZoom:0,maxZoom:18,subdomains:"abc",errorTileUrl:"",zoomOffset:0,tms:!1,zoomReverse:!1,detectRetina:!1,crossOrigin:!1,referrerPolicy:!1},initialize:function(t,e){this._url=t,(e=b(this,e)).detectRetina&&tB.retina&&e.maxZoom>0?(e.tileSize=Math.floor(e.tileSize/2),e.zoomReverse?(e.zoomOffset--,e.minZoom=Math.min(e.maxZoom,e.minZoom+1)):(e.zoomOffset++,e.maxZoom=Math.max(e.minZoom,e.maxZoom-1)),e.minZoom=Math.max(0,e.minZoom)):e.zoomReverse?e.minZoom=Math.min(e.maxZoom,e.minZoom):e.maxZoom=Math.max(e.minZoom,e.maxZoom),"string"==typeof e.subdomains&&(e.subdomains=e.subdomains.split("")),this.on("tileunload",this._onTileRemove)},setUrl:function(t,e){return this._url===t&&void 0===e&&(e=!0),this._url=t,e||this.redraw(),this},createTile:function(t,e){var i=document.createElement("img");return ed(i,"load",_(this._tileOnLoad,this,e,i)),ed(i,"error",_(this._tileOnError,this,e,i)),(this.options.crossOrigin||""===this.options.crossOrigin)&&(i.crossOrigin=!0===this.options.crossOrigin?"":this.options.crossOrigin),"string"==typeof this.options.referrerPolicy&&(i.referrerPolicy=this.options.referrerPolicy),i.alt="",i.src=this.getTileUrl(t),i},getTileUrl:function(t){var i={r:tB.retina?"@2x":"",s:this._getSubdomain(t),x:t.x,y:t.y,z:this._getZoomForUrl()};if(this._map&&!this._map.options.crs.infinite){var n=this._globalTileRange.max.y-t.y;this.options.tms&&(i.y=n),i["-y"]=n}return M(this._url,e(i,this.options))},_tileOnLoad:function(t,e){tB.ielt9?setTimeout(_(t,this,null,e),0):t(null,e)},_tileOnError:function(t,e,i){var n=this.options.errorTileUrl;n&&e.getAttribute("src")!==n&&(e.src=n),t(i,e)},_onTileRemove:function(t){t.tile.onload=null},_getZoomForUrl:function(){var t=this._tileZoom,e=this.options.maxZoom,i=this.options.zoomReverse,n=this.options.zoomOffset;return i&&(t=e-t),t+n},_getSubdomain:function(t){var e=Math.abs(t.x+t.y)%this.options.subdomains.length;return this.options.subdomains[e]},_abortLoading:function(){var t,e;for(t in this._tiles)if(this._tiles[t].coords.z!==this._tileZoom&&((e=this._tiles[t].el).onload=v,e.onerror=v,!e.complete)){e.src=S;var i=this._tiles[t].coords;t1(e),delete this._tiles[t],this.fire("tileabort",{tile:e,coords:i})}},_removeTile:function(t){var e=this._tiles[t];if(e)return e.el.setAttribute("src",S),iT.prototype._removeTile.call(this,t)},_tileReady:function(t,e,i){if(this._map&&(!i||i.getAttribute("src")!==S))return iT.prototype._tileReady.call(this,t,e,i)}});function iz(t,e){return new iM(t,e)}var iC=iM.extend({defaultWmsParams:{service:"WMS",request:"GetMap",layers:"",styles:"",format:"image/jpeg",transparent:!1,version:"1.1.1"},options:{crs:null,uppercase:!1},initialize:function(t,i){this._url=t;var n=e({},this.defaultWmsParams);for(var o in i)o in this.options||(n[o]=i[o]);var s=(i=b(this,i)).detectRetina&&tB.retina?2:1,r=this.getTileSize();n.width=r.x*s,n.height=r.y*s,this.wmsParams=n},onAdd:function(t){this._crs=this.options.crs||t.options.crs,this._wmsVersion=parseFloat(this.wmsParams.version);var e=this._wmsVersion>=1.3?"crs":"srs";this.wmsParams[e]=this._crs.code,iM.prototype.onAdd.call(this,t)},getTileUrl:function(t){var e=this._tileCoordsToNwSe(t),i=this._crs,n=U(i.project(e[0]),i.project(e[1])),o=n.min,s=n.max,r=(this._wmsVersion>=1.3&&this._crs===e1?[o.y,o.x,s.y,s.x]:[o.x,o.y,s.x,s.y]).join(","),a=iM.prototype.getTileUrl.call(this,t);return a+P(this.wmsParams,a,this.options.uppercase)+(this.options.uppercase?"&BBOX=":"&bbox=")+r},setParams:function(t,i){return e(this.wmsParams,t),i||this.redraw(),this}});iM.WMS=iC,iz.wms=function(t,e){return new iC(t,e)};var iS=e3.extend({options:{padding:.1},initialize:function(t){b(this,t),m(this),this._layers=this._layers||{}},onAdd:function(){this._container||(this._initContainer(),t8(this._container,"leaflet-zoom-animated")),this.getPane().appendChild(this._container),this._update(),this.on("update",this._updatePaths,this)},onRemove:function(){this.off("update",this._updatePaths,this),this._destroyContainer()},getEvents:function(){var t={viewreset:this._reset,zoom:this._onZoom,moveend:this._update,zoomend:this._onZoomEnd};return this._zoomAnimated&&(t.zoomanim=this._onAnimZoom),t},_onAnimZoom:function(t){this._updateTransform(t.center,t.zoom)},_onZoom:function(){this._updateTransform(this._map.getCenter(),this._map.getZoom())},_updateTransform:function(t,e){var i=this._map.getZoomScale(e,this._zoom),n=this._map.getSize().multiplyBy(.5+this.options.padding),o=this._map.project(this._center,e),s=n.multiplyBy(-i).add(o).subtract(this._map._getNewPixelOrigin(t,e));tB.any3d?ei(this._container,s,i):en(this._container,s)},_reset:function(){for(var t in this._update(),this._updateTransform(this._center,this._zoom),this._layers)this._layers[t]._reset()},_onZoomEnd:function(){for(var t in this._layers)this._layers[t]._project()},_updatePaths:function(){for(var t in this._layers)this._layers[t]._update()},_update:function(){var t=this.options.padding,e=this._map.getSize(),i=this._map.containerPointToLayerPoint(e.multiplyBy(-t)).round();this._bounds=new W(i,i.add(e.multiplyBy(1+2*t)).round()),this._center=this._map.getCenter(),this._zoom=this._map.getZoom()}}),iZ=iS.extend({options:{tolerance:0},getEvents:function(){var t=iS.prototype.getEvents.call(this);return t.viewprereset=this._onViewPreReset,t},_onViewPreReset:function(){this._postponeUpdatePaths=!0},onAdd:function(){iS.prototype.onAdd.call(this),this._draw()},_initContainer:function(){var t=this._container=document.createElement("canvas");ed(t,"mousemove",this._onMouseMove,this),ed(t,"click dblclick mousedown mouseup contextmenu",this._onClick,this),ed(t,"mouseout",this._handleMouseOut,this),t._leaflet_disable_events=!0,this._ctx=t.getContext("2d")},_destroyContainer:function(){B(this._redrawRequest),delete this._ctx,t1(this._container),ep(this._container),delete this._container},_updatePaths:function(){if(!this._postponeUpdatePaths){for(var t in this._redrawBounds=null,this._layers)this._layers[t]._update();this._redraw()}},_update:function(){if(!this._map._animatingZoom||!this._bounds){iS.prototype._update.call(this);var t=this._bounds,e=this._container,i=t.getSize(),n=tB.retina?2:1;en(e,t.min),e.width=n*i.x,e.height=n*i.y,e.style.width=i.x+"px",e.style.height=i.y+"px",tB.retina&&this._ctx.scale(2,2),this._ctx.translate(-t.min.x,-t.min.y),this.fire("update")}},_reset:function(){iS.prototype._reset.call(this),this._postponeUpdatePaths&&(this._postponeUpdatePaths=!1,this._updatePaths())},_initPath:function(t){this._updateDashArray(t),this._layers[m(t)]=t;var e=t._order={layer:t,prev:this._drawLast,next:null};this._drawLast&&(this._drawLast.next=e),this._drawLast=e,this._drawFirst=this._drawFirst||this._drawLast},_addPath:function(t){this._requestRedraw(t)},_removePath:function(t){var e=t._order,i=e.next,n=e.prev;i?i.prev=n:this._drawLast=n,n?n.next=i:this._drawFirst=i,delete t._order,delete this._layers[m(t)],this._requestRedraw(t)},_updatePath:function(t){this._extendRedrawBounds(t),t._project(),t._update(),this._requestRedraw(t)},_updateStyle:function(t){this._updateDashArray(t),this._requestRedraw(t)},_updateDashArray:function(t){if("string"==typeof t.options.dashArray){var e,i,n=t.options.dashArray.split(/[, ]+/),o=[];for(i=0;i')}}catch(t){}return function(t){return document.createElement("<"+t+' xmlns="urn:schemas-microsoft.com:vml" class="lvml">')}}(),iO=tB.vml?ik:ti,iI=iS.extend({_initContainer:function(){this._container=iO("svg"),this._container.setAttribute("pointer-events","none"),this._rootGroup=iO("g"),this._container.appendChild(this._rootGroup)},_destroyContainer:function(){t1(this._container),ep(this._container),delete this._container,delete this._rootGroup,delete this._svgSize},_update:function(){if(!this._map._animatingZoom||!this._bounds){iS.prototype._update.call(this);var t=this._bounds,e=t.getSize(),i=this._container;this._svgSize&&this._svgSize.equals(e)||(this._svgSize=e,i.setAttribute("width",e.x),i.setAttribute("height",e.y)),en(i,t.min),i.setAttribute("viewBox",[t.min.x,t.min.y,e.x,e.y].join(" ")),this.fire("update")}},_initPath:function(t){var e=t._path=iO("path");t.options.className&&t8(e,t.options.className),t.options.interactive&&t8(e,"leaflet-interactive"),this._updateStyle(t),this._layers[m(t)]=t},_addPath:function(t){this._rootGroup||this._initContainer(),this._rootGroup.appendChild(t._path),t.addInteractiveTarget(t._path)},_removePath:function(t){t1(t._path),t.removeInteractiveTarget(t._path),delete this._layers[m(t)]},_updatePath:function(t){t._project(),t._update()},_updateStyle:function(t){var e=t._path,i=t.options;e&&(i.stroke?(e.setAttribute("stroke",i.color),e.setAttribute("stroke-opacity",i.opacity),e.setAttribute("stroke-width",i.weight),e.setAttribute("stroke-linecap",i.lineCap),e.setAttribute("stroke-linejoin",i.lineJoin),i.dashArray?e.setAttribute("stroke-dasharray",i.dashArray):e.removeAttribute("stroke-dasharray"),i.dashOffset?e.setAttribute("stroke-dashoffset",i.dashOffset):e.removeAttribute("stroke-dashoffset")):e.setAttribute("stroke","none"),i.fill?(e.setAttribute("fill",i.fillColor||i.color),e.setAttribute("fill-opacity",i.fillOpacity),e.setAttribute("fill-rule",i.fillRule||"evenodd")):e.setAttribute("fill","none"))},_updatePoly:function(t,e){this._setPath(t,tn(t._parts,e))},_updateCircle:function(t){var e=t._point,i=Math.max(Math.round(t._radius),1),n=Math.max(Math.round(t._radiusY),1)||i,o="a"+i+","+n+" 0 1,0 ",s=t._empty()?"M0 0":"M"+(e.x-i)+","+e.y+o+2*i+",0 "+o+-(2*i)+",0 ";this._setPath(t,s)},_setPath:function(t,e){t._path.setAttribute("d",e)},_bringToFront:function(t){t3(t._path)},_bringToBack:function(t){t5(t._path)}});function iA(t){return tB.svg||tB.vml?new iI(t):null}tB.vml&&iI.include({_initContainer:function(){this._container=t0("div","leaflet-vml-container")},_update:function(){this._map._animatingZoom||(iS.prototype._update.call(this),this.fire("update"))},_initPath:function(t){var e=t._container=ik("shape");t8(e,"leaflet-vml-shape "+(this.options.className||"")),e.coordsize="1 1",t._path=ik("path"),e.appendChild(t._path),this._updateStyle(t),this._layers[m(t)]=t},_addPath:function(t){var e=t._container;this._container.appendChild(e),t.options.interactive&&t.addInteractiveTarget(e)},_removePath:function(t){var e=t._container;t1(e),t.removeInteractiveTarget(e),delete this._layers[m(t)]},_updateStyle:function(t){var e=t._stroke,i=t._fill,n=t.options,o=t._container;o.stroked=!!n.stroke,o.filled=!!n.fill,n.stroke?(e||(e=t._stroke=ik("stroke")),o.appendChild(e),e.weight=n.weight+"px",e.color=n.color,e.opacity=n.opacity,n.dashArray?e.dashStyle=z(n.dashArray)?n.dashArray.join(" "):n.dashArray.replace(/( *, *)/g," "):e.dashStyle="",e.endcap=n.lineCap.replace("butt","flat"),e.joinstyle=n.lineJoin):e&&(o.removeChild(e),t._stroke=null),n.fill?(i||(i=t._fill=ik("fill")),o.appendChild(i),i.color=n.fillColor||n.color,i.opacity=n.fillOpacity):i&&(o.removeChild(i),t._fill=null)},_updateCircle:function(t){var e=t._point.round(),i=Math.round(t._radius),n=Math.round(t._radiusY||i);this._setPath(t,t._empty()?"M0 0":"AL "+e.x+","+e.y+" "+i+","+n+" 0,23592600")},_setPath:function(t,e){t._path.v=e},_bringToFront:function(t){t3(t._container)},_bringToBack:function(t){t5(t._container)}}),eZ.include({getRenderer:function(t){var e=t.options.renderer||this._getPaneRenderer(t.options.pane)||this.options.renderer||this._renderer;return e||(e=this._renderer=this._createRenderer()),this.hasLayer(e)||this.addLayer(e),e},_getPaneRenderer:function(t){if("overlayPane"===t||void 0===t)return!1;var e=this._paneRenderers[t];return void 0===e&&(e=this._createRenderer({pane:t}),this._paneRenderers[t]=e),e},_createRenderer:function(t){return this.options.preferCanvas&&iE(t)||iA(t)}});var iB=is.extend({initialize:function(t,e){is.prototype.initialize.call(this,this._boundsToLatLngs(t),e)},setBounds:function(t){return this.setLatLngs(this._boundsToLatLngs(t))},_boundsToLatLngs:function(t){return[(t=q(t)).getSouthWest(),t.getNorthWest(),t.getNorthEast(),t.getSouthEast()]}});iI.create=iO,iI.pointsToPath=tn,ir.geometryToLayer=ia,ir.coordsToLatLng=il,ir.coordsToLatLngs=iu,ir.latLngToCoords=ic,ir.latLngsToCoords=id,ir.getFeature=i_,ir.asFeature=ip,eZ.mergeOptions({boxZoom:!0});var iR=eR.extend({initialize:function(t){this._map=t,this._container=t._container,this._pane=t._panes.overlayPane,this._resetStateTimeout=0,t.on("unload",this._destroy,this)},addHooks:function(){ed(this._container,"mousedown",this._onMouseDown,this)},removeHooks:function(){ep(this._container,"mousedown",this._onMouseDown,this)},moved:function(){return this._moved},_destroy:function(){t1(this._pane),delete this._pane},_resetState:function(){this._resetStateTimeout=0,this._moved=!1},_clearDeferredResetState:function(){0!==this._resetStateTimeout&&(clearTimeout(this._resetStateTimeout),this._resetStateTimeout=0)},_onMouseDown:function(t){if(!t.shiftKey||1!==t.which&&1!==t.button)return!1;this._clearDeferredResetState(),this._resetState(),i(),er(),this._startPoint=this._map.mouseEventToContainerPoint(t),ed(document,{contextmenu:eP,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseMove:function(t){this._moved||(this._moved=!0,this._box=t0("div","leaflet-zoom-box",this._container),t8(this._container,"leaflet-crosshair"),this._map.fire("boxzoomstart")),this._point=this._map.mouseEventToContainerPoint(t);var e=new W(this._point,this._startPoint),i=e.getSize();en(this._box,e.min),this._box.style.width=i.x+"px",this._box.style.height=i.y+"px"},_finish:function(){this._moved&&(t1(this._box),t9(this._container,"leaflet-crosshair")),n(),ea(),ep(document,{contextmenu:eP,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseUp:function(t){if((1===t.which||1===t.button)&&(this._finish(),this._moved)){this._clearDeferredResetState(),this._resetStateTimeout=setTimeout(_(this._resetState,this),0);var e=new V(this._map.containerPointToLatLng(this._startPoint),this._map.containerPointToLatLng(this._point));this._map.fitBounds(e).fire("boxzoomend",{boxZoomBounds:e})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._clearDeferredResetState(),this._resetState())}});eZ.addInitHook("addHandler","boxZoom",iR),eZ.mergeOptions({doubleClickZoom:!0});var iN=eR.extend({addHooks:function(){this._map.on("dblclick",this._onDoubleClick,this)},removeHooks:function(){this._map.off("dblclick",this._onDoubleClick,this)},_onDoubleClick:function(t){var e=this._map,i=e.getZoom(),n=e.options.zoomDelta,o=t.originalEvent.shiftKey?i-n:i+n;"center"===e.options.doubleClickZoom?e.setZoom(o):e.setZoomAround(t.containerPoint,o)}});eZ.addInitHook("addHandler","doubleClickZoom",iN),eZ.mergeOptions({dragging:!0,inertia:!0,inertiaDeceleration:3400,inertiaMaxSpeed:1/0,easeLinearity:.2,worldCopyJump:!1,maxBoundsViscosity:0});var ij=eR.extend({addHooks:function(){if(!this._draggable){var t=this._map;this._draggable=new ej(t._mapPane,t._container),this._draggable.on({dragstart:this._onDragStart,drag:this._onDrag,dragend:this._onDragEnd},this),this._draggable.on("predrag",this._onPreDragLimit,this),t.options.worldCopyJump&&(this._draggable.on("predrag",this._onPreDragWrap,this),t.on("zoomend",this._onZoomEnd,this),t.whenReady(this._onZoomEnd,this))}t8(this._map._container,"leaflet-grab leaflet-touch-drag"),this._draggable.enable(),this._positions=[],this._times=[]},removeHooks:function(){t9(this._map._container,"leaflet-grab"),t9(this._map._container,"leaflet-touch-drag"),this._draggable.disable()},moved:function(){return this._draggable&&this._draggable._moved},moving:function(){return this._draggable&&this._draggable._moving},_onDragStart:function(){var t=this._map;if(t._stop(),this._map.options.maxBounds&&this._map.options.maxBoundsViscosity){var e=q(this._map.options.maxBounds);this._offsetLimit=U(this._map.latLngToContainerPoint(e.getNorthWest()).multiplyBy(-1),this._map.latLngToContainerPoint(e.getSouthEast()).multiplyBy(-1).add(this._map.getSize())),this._viscosity=Math.min(1,Math.max(0,this._map.options.maxBoundsViscosity))}else this._offsetLimit=null;t.fire("movestart").fire("dragstart"),t.options.inertia&&(this._positions=[],this._times=[])},_onDrag:function(t){if(this._map.options.inertia){var e=this._lastTime=+new Date,i=this._lastPos=this._draggable._absPos||this._draggable._newPos;this._positions.push(i),this._times.push(e),this._prunePositions(e)}this._map.fire("move",t).fire("drag",t)},_prunePositions:function(t){for(;this._positions.length>1&&t-this._times[0]>50;)this._positions.shift(),this._times.shift()},_onZoomEnd:function(){var t=this._map.getSize().divideBy(2),e=this._map.latLngToLayerPoint([0,0]);this._initialWorldOffset=e.subtract(t).x,this._worldWidth=this._map.getPixelWorldBounds().getSize().x},_viscousLimit:function(t,e){return t-(t-e)*this._viscosity},_onPreDragLimit:function(){if(this._viscosity&&this._offsetLimit){var t=this._draggable._newPos.subtract(this._draggable._startPos),e=this._offsetLimit;t.xe.max.x&&(t.x=this._viscousLimit(t.x,e.max.x)),t.y>e.max.y&&(t.y=this._viscousLimit(t.y,e.max.y)),this._draggable._newPos=this._draggable._startPos.add(t)}},_onPreDragWrap:function(){var t=this._worldWidth,e=Math.round(t/2),i=this._initialWorldOffset,n=this._draggable._newPos.x,o=(n-e+i)%t+e-i,s=(n+e+i)%t-e-i,r=Math.abs(o+i)0?o:-o))-e;this._delta=0,this._startTime=null,s&&("center"===t.options.scrollWheelZoom?t.setZoom(e+s):t.setZoomAround(this._lastMousePos,e+s))}});eZ.addInitHook("addHandler","scrollWheelZoom",iH),eZ.mergeOptions({tapHold:tB.touchNative&&tB.safari&&tB.mobile,tapTolerance:15});var iF=eR.extend({addHooks:function(){ed(this._map._container,"touchstart",this._onDown,this)},removeHooks:function(){ep(this._map._container,"touchstart",this._onDown,this)},_onDown:function(t){if(clearTimeout(this._holdTimeout),1===t.touches.length){var e=t.touches[0];this._startPos=this._newPos=new D(e.clientX,e.clientY),this._holdTimeout=setTimeout(_(function(){this._cancel(),this._isTapValid()&&(ed(document,"touchend",eb),ed(document,"touchend touchcancel",this._cancelClickPrevent),this._simulateEvent("contextmenu",e))},this),600),ed(document,"touchend touchcancel contextmenu",this._cancel,this),ed(document,"touchmove",this._onMove,this)}},_cancelClickPrevent:function t(){ep(document,"touchend",eb),ep(document,"touchend touchcancel",t)},_cancel:function(){clearTimeout(this._holdTimeout),ep(document,"touchend touchcancel contextmenu",this._cancel,this),ep(document,"touchmove",this._onMove,this)},_onMove:function(t){var e=t.touches[0];this._newPos=new D(e.clientX,e.clientY)},_isTapValid:function(){return this._newPos.distanceTo(this._startPos)<=this._map.options.tapTolerance},_simulateEvent:function(t,e){var i=new MouseEvent(t,{bubbles:!0,cancelable:!0,view:window,screenX:e.screenX,screenY:e.screenY,clientX:e.clientX,clientY:e.clientY});i._simulated=!0,e.target.dispatchEvent(i)}});eZ.addInitHook("addHandler","tapHold",iF),eZ.mergeOptions({touchZoom:tB.touch,bounceAtZoomLimits:!0});var iW=eR.extend({addHooks:function(){t8(this._map._container,"leaflet-touch-zoom"),ed(this._map._container,"touchstart",this._onTouchStart,this)},removeHooks:function(){t9(this._map._container,"leaflet-touch-zoom"),ep(this._map._container,"touchstart",this._onTouchStart,this)},_onTouchStart:function(t){var e=this._map;if(t.touches&&2===t.touches.length&&!e._animatingZoom&&!this._zooming){var i=e.mouseEventToContainerPoint(t.touches[0]),n=e.mouseEventToContainerPoint(t.touches[1]);this._centerPoint=e.getSize()._divideBy(2),this._startLatLng=e.containerPointToLatLng(this._centerPoint),"center"!==e.options.touchZoom&&(this._pinchStartLatLng=e.containerPointToLatLng(i.add(n)._divideBy(2))),this._startDist=i.distanceTo(n),this._startZoom=e.getZoom(),this._moved=!1,this._zooming=!0,e._stop(),ed(document,"touchmove",this._onTouchMove,this),ed(document,"touchend touchcancel",this._onTouchEnd,this),eb(t)}},_onTouchMove:function(t){if(t.touches&&2===t.touches.length&&this._zooming){var e=this._map,i=e.mouseEventToContainerPoint(t.touches[0]),n=e.mouseEventToContainerPoint(t.touches[1]),o=i.distanceTo(n)/this._startDist;if(this._zoom=e.getScaleZoom(o,this._startZoom),!e.options.bounceAtZoomLimits&&(this._zoome.getMaxZoom()&&o>1)&&(this._zoom=e._limitZoom(this._zoom)),"center"===e.options.touchZoom){if(this._center=this._startLatLng,1===o)return}else{var s=i._add(n)._divideBy(2)._subtract(this._centerPoint);if(1===o&&0===s.x&&0===s.y)return;this._center=e.unproject(e.project(this._pinchStartLatLng,this._zoom).subtract(s),this._zoom)}this._moved||(e._moveStart(!0,!1),this._moved=!0),B(this._animRequest);var r=_(e._move,e,this._center,this._zoom,{pinch:!0,round:!1},void 0);this._animRequest=A(r,this,!0),eb(t)}},_onTouchEnd:function(){if(!this._moved||!this._zooming){this._zooming=!1;return}this._zooming=!1,B(this._animRequest),ep(document,"touchmove",this._onTouchMove,this),ep(document,"touchend touchcancel",this._onTouchEnd,this),this._map.options.zoomAnimation?this._map._animateZoom(this._center,this._map._limitZoom(this._zoom),!0,this._map.options.zoomSnap):this._map._resetView(this._center,this._map._limitZoom(this._zoom))}});eZ.addInitHook("addHandler","touchZoom",iW),eZ.BoxZoom=iR,eZ.DoubleClickZoom=iN,eZ.Drag=ij,eZ.Keyboard=iD,eZ.ScrollWheelZoom=iH,eZ.TapHold=iF,eZ.TouchZoom=iW,t.Bounds=W,t.Browser=tB,t.CRS=Y,t.Canvas=iZ,t.Circle=ii,t.CircleMarker=ie,t.Class=R,t.Control=eE,t.DivIcon=iL,t.DivOverlay=iw,t.DomEvent={__proto__:null,on:ed,off:ep,stopPropagation:ey,disableScrollPropagation:ex,disableClickPropagation:ew,preventDefault:eb,stop:eP,getPropagationPath:eL,getMousePosition:eT,getWheelDelta:ez,isExternalTarget:eC,addListener:ed,removeListener:ep},t.DomUtil={__proto__:null,TRANSFORM:tY,TRANSITION:tJ,TRANSITION_END:tX,get:t$,getStyle:tQ,create:t0,remove:t1,empty:t2,toFront:t3,toBack:t5,hasClass:t4,addClass:t8,removeClass:t9,setClass:t6,getClass:t7,setOpacity:et,testProp:ee,setTransform:ei,setPosition:en,getPosition:eo,get disableTextSelection(){return i},get enableTextSelection(){return n},disableImageDrag:er,enableImageDrag:ea,preventOutline:eh,restoreOutline:el,getSizedParentNode:eu,getScale:ec},t.Draggable=ej,t.Evented=j,t.FeatureGroup=e4,t.GeoJSON=ir,t.GridLayer=iT,t.Handler=eR,t.Icon=e8,t.ImageOverlay=iv,t.LatLng=G,t.LatLngBounds=V,t.Layer=e3,t.LayerGroup=e5,t.LineUtil={__proto__:null,simplify:eW,pointToSegmentDistance:eU,closestPointOnSegment:function(t,e,i){return eK(t,e,i)},clipSegment:eV,_getEdgeIntersection:eq,_getBitCode:eG,_sqClosestPointOnSegment:eK,isFlat:eY,_flat:eJ,polylineCenter:eX},t.Map=eZ,t.Marker=e7,t.Mixin={Events:N},t.Path=it,t.Point=D,t.PolyUtil={__proto__:null,clipPolygon:eD,polygonCenter:eH,centroid:eF},t.Polygon=is,t.Polyline=io,t.Popup=ib,t.PosAnimation=eS,t.Projection={__proto__:null,LonLat:e$,Mercator:eQ,SphericalMercator:X},t.Rectangle=iB,t.Renderer=iS,t.SVG=iI,t.SVGOverlay=ix,t.TileLayer=iM,t.Tooltip=iP,t.Transformation=$,t.Util={__proto__:null,extend:e,create:d,bind:_,get lastId(){return p},stamp:m,throttle:f,wrapNum:g,falseFn:v,formatNum:y,trim:x,splitWords:w,setOptions:b,getParamString:P,template:M,isArray:z,indexOf:C,emptyImageUrl:S,requestFn:O,cancelFn:I,requestAnimFrame:A,cancelAnimFrame:B},t.VideoOverlay=iy,t.bind=_,t.bounds=U,t.canvas=iE,t.circle=function(t,e,i){return new ii(t,e,i)},t.circleMarker=function(t,e){return new ie(t,e)},t.control=ek,t.divIcon=function(t){return new 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VISION / 2030

The Intelligence Grid Behind Every Urban Mile

From Hyderabad EV pilot to nationwide AI logistics intelligence by 2030

ROADMAP TO 2030
100% COMPLETE →
2026
Pilot Phase
Hyderabad Pilot

Launch operations in Hyderabad with dedicated EV hubs and MileTruth AI v1.0.

50-80 orders/day
1 city
10+ women partners
2027
Multi-City
Multi-City Scale

Expand to Bengaluru and Chennai, securing key B2B enterprise traction.

300-500 orders/day
3 cities
50+ EVs
2028
Platform
Platform Expansion

Scale to 5+ cities. Launch developer API marketplace and Series A readiness.

1,200+ orders/day
5+ cities
API marketplace
2030
Vision State
AI Pulse Layer

Nationwide AI logistics grid reaching 15+ cities, empowering female micro-entrepreneurs.

5,000+ orders/day
RsRs 65 Cr+ revenue
2,000+ women partners
VISION / 2030

The Intelligence Grid Behind Every Urban Mile

From Hyderabad EV pilot to nationwide AI logistics intelligence by 2030

ROADMAP TO 2030
100% COMPLETE →
2026
Pilot Phase
Pilot

Launch operations in Hyderabad with dedicated EV hubs and MileTruth AI v1.0.

100+ orders/day
1 city
10+ women partners
2027
Multi-City
Scale

Expand to Bengaluru and Chennai, securing key B2B enterprise traction.

500+ orders/day
3 cities
50+ EVs
2028
Platform
Expansion

Scale to 5+ cities. Strengthen regional operations.

5000+ orders/day
5+ cities
100+ women partners
2030
Vision State
AI Pulse Layer

Nationwide AI logistics grid reaching 15+ cities, empowering female micro-entrepreneurs.

50,000+ orders/day
Rs50+ cities
2,000+ women partners
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Case Study

42% Less Distance: Insights from Our Hyderabad Hub

Doormile Team2 min read

Numbers settle arguments. When we deployed MileTruth™ at our Hyderabad hub, the goal was simple: prove that precision routing changes the economics of last-mile delivery. The result — a 42% reduction in total distance travelled — did exactly that.

Hyderabad is a demanding test bed: dense urban cores, sprawling new suburbs, unpredictable traffic and tight delivery windows. If a routing approach works here, it works almost anywhere. We ran it side by side against the hub's existing manual-plus-rules dispatch process over a sustained period, holding order volume constant.

The baseline

Before MileTruth, the hub planned routes the conventional way — zones drawn by experience, sequences set by dispatchers, adjustments made on the fly. It worked, but it left distance on the table every single day, and that distance translated directly into fuel, hours and vehicles.

  • Zone-based allocation that ignored cross-zone efficiencies
  • Manual sequencing that couldn't evaluate every alternative
  • No pre-validation of ETAs against real travel times
  • Reactive rather than predictive handling of disruptions

What changed

MileTruth treated the day's deliveries as one large optimisation problem rather than a set of independent zones. It evaluated routing strategies in parallel, selected the optimal plan against real constraints, and validated every ETA before dispatch. The same orders, the same city — a fundamentally tighter plan.

Hyderabad delivery hub routing analysis
Consolidating the day's deliveries into a single optimisation removed redundant cross-town travel.

The results

  • 42% reduction in total distance travelled across the hub
  • 37% fewer vehicles required for the same delivery volume
  • Zero SLA misses across the measured deployment window
  • Proportional drop in fuel cost and per-parcel emissions

Fewer vehicles, less fuel, zero missed SLAs — and not by working the team harder. By making a better decision before the wheels turned.

— Hyderabad Hub Operations

Why it generalises

The Hyderabad gains were not a quirk of one city. The inefficiencies MileTruth removed — redundant travel, conservative sequencing, unvalidated ETAs — exist in nearly every manual operation. The engine simply makes them visible, then eliminates them. That is why the same approach now anchors deployments well beyond this hub.

A 42% cut in distance is not a rounding error — it is a structural change in what the operation costs to run. And it came from intelligence, not additional resources.

Case Study

42% Less Distance: Insights from Our Hyderabad Hub

Doormile Team2 min read

Numbers settle arguments. At our Hyderabad hub, the goal was simple: reduce avoidable distance without missing customer commitments. The result was a 42% reduction in total distance travelled.

Hyderabad is not an easy city for delivery planning. Dense commercial areas, fast-growing suburbs, flyover work, narrow service lanes, apartment security checks, and sudden traffic build-up can all change the day.

The baseline

Before MileTruth, the hub planned routes in the usual way. Zones were drawn from experience, dispatchers sequenced stops manually, and riders adjusted on the road when something changed.

That process worked, but it carried hidden costs. Two riders might cross the same area in the same hour. A vehicle might take a longer loop to avoid one late stop. A dispatcher might hold back an order because the best vehicle was not obvious in the moment.

  • Zone-based allocation that missed nearby cross-zone drops
  • Manual stop sequencing during busy dispatch windows
  • ETAs checked after routing instead of before dispatch
  • Traffic and delay handling that depended on phone calls from riders

What changed

The main change was treating the day's orders as one connected plan instead of separate zone lists. The route plan considered distance, rider capacity, delivery windows, traffic, and vehicle availability together.

During peak traffic hours in Hyderabad, some vehicles were arriving 20 to 30 minutes later than planned. By adjusting routes based on live traffic and battery levels, we reduced missed delivery windows and improved on-time performance.

Hyderabad delivery hub routing analysis
Planning the day's deliveries together removed repeated cross-town travel.

The results

  • 42% reduction in total distance travelled across the hub
  • 37% fewer vehicles required for the same delivery volume
  • No SLA misses during the measured deployment window
  • Lower fuel use and fewer unnecessary kilometres per parcel

The improvement did not come from asking riders to work harder. It came from giving the team a better route plan before the vehicles left.

Hyderabad Hub Operations

Why this applies beyond one hub

The Hyderabad result was not a one-city exception. Most hubs deal with the same issues: overlapping routes, conservative sequencing, traffic surprises, charging constraints, and last-minute order changes.

A 42% cut in distance changes the cost of running the operation. It also gives dispatchers more breathing room when the day gets messy.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch
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b/build/blog/battery-simulation-the-secret-to-ev-route-pre-validation.html index 53a3fde..2b2ee1c 100644 --- a/build/blog/battery-simulation-the-secret-to-ev-route-pre-validation.html +++ b/build/blog/battery-simulation-the-secret-to-ev-route-pre-validation.html @@ -1,4 +1,4 @@ -Battery Simulation: The Secret to EV Route Pre-Validation – Doormile
EV Fleet

Battery Simulation: The Secret to EV Route Pre-Validation

Doormile Team2 min read

A stranded EV is not just a late delivery — it is a vehicle out of service, a customer let down, and a recovery cost. Simulating the route against real charge capacity before dispatch is how you make sure it never happens.

In last-mile logistics, the difference between a good day and a missed SLA is rarely a single dramatic failure — it is the quiet accumulation of small inefficiencies. Battery Simulation: The Secret to EV Route Pre-Validation looks at how Doormile turns those margins into measurable advantage, and why a precision-first approach consistently outperforms guesswork on the road.

Why this matters for modern fleets

Every additional kilometre carries cost: fuel or charge, rider hours, vehicle wear, and the risk of a late delivery. When routing decisions are made on intuition or static rules, those costs compound across hundreds of stops. Treating the route as a solvable optimisation problem — not a best guess — is what separates scalable operations from ones that simply add more vehicles.

  • Fewer vehicles deployed for the same delivery volume
  • Lower cost-per-drop through tighter, smarter sequencing
  • Predictable ETAs that protect customer trust and SLA targets
  • A cleaner, lower-emission footprint per parcel delivered

From data to decision

Doormile's MileTruth™ engine ingests orders, constraints and live conditions, then evaluates the routing problem across parallel strategy universes before committing to a plan. The result is a dispatch decision grounded in mathematics rather than heuristics — validated before a single rider leaves the hub.

Battery Simulation: The Secret to EV Route Pre-Validation
EV Fleet — operational intelligence applied at the point of dispatch.

We don't guess the route. We calculate it — and we prove it works before the wheels start turning.

— Doormile Operations

Putting it into practice

The teams that benefit most treat routing intelligence as core infrastructure, not an afterthought. Start by measuring your current cost-per-drop and SLA adherence, then let a precision engine reveal where distance, time and capacity are being lost. The gains are rarely theoretical — they show up directly in the next dispatch cycle.

  1. Benchmark today's distance, fleet size and on-time rate.
  2. Feed real constraints — capacity, windows, charge — into the engine.
  3. Validate routes against real-world conditions before dispatch.
  4. Measure the delta, then scale the approach across hubs.

Smarter routing is not about working harder on the road — it is about making the right decision before the journey begins. That is the foundation every Doormile deployment is built on.

EV Fleet

Battery Simulation: The Secret to EV Route Pre-Validation

Doormile Team2 min read

A stranded EV is not just a late delivery. It means a vehicle is out of service, a customer is waiting, and the hub has to arrange recovery. Range checks need to happen before dispatch.

In last-mile logistics, a missed SLA is rarely caused by one big failure. It usually comes from small delays adding up across a route. Battery Simulation: The Secret to EV Route Pre-Validation looks at how delivery teams can spot those delays early and plan around them before vehicles leave the hub.

Why this matters for fleet teams

Every extra kilometre costs money. It uses fuel or charge, adds rider time, wears down vehicles, and increases the chance of a late delivery. When routes are built from fixed zones or old habits, those costs repeat every day.

  • Fewer vehicles needed for the same number of drops
  • Lower cost per drop through better stop sequencing
  • ETAs that match traffic, distance, and delivery windows
  • Less fuel or charge used per completed order

From orders to dispatch

A good dispatch plan starts with the basics: order locations, promised delivery windows, rider capacity, vehicle range, and known traffic trouble spots. MileTruth™ checks those inputs before dispatch so the team is not fixing avoidable mistakes on the road.

Battery Simulation: The Secret to EV Route Pre-Validation
EV Fleet: route planning decisions made before dispatch.

A route should be checked before the rider leaves, not explained after the customer calls.

Doormile Operations

Putting it into practice

The best improvements usually start with simple measurements. Track distance per route, failed delivery windows, rider idle time, and orders moved between vehicles after dispatch. Those numbers show where the operation is leaking time.

  1. Benchmark today's distance, fleet size, and on-time rate.
  2. Include vehicle capacity, delivery windows, rider shifts, and battery charge.
  3. Check routes against traffic and customer commitments before dispatch.
  4. Compare the next dispatch cycle against the old plan.

Better routing is not about pushing riders harder. It is about giving them a plan that already accounts for the real day ahead.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch
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Sustainability

Building a Greener City: The Future of Urban Logistics

Doormile Team2 min read

Zero-emission delivery is no longer a marketing line — it is becoming a regulatory expectation. The path there runs through two changes at once: electrifying the fleet, and routing it intelligently enough to make electrification viable.

In last-mile logistics, the difference between a good day and a missed SLA is rarely a single dramatic failure — it is the quiet accumulation of small inefficiencies. Building a Greener City: The Future of Urban Logistics looks at how Doormile turns those margins into measurable advantage, and why a precision-first approach consistently outperforms guesswork on the road.

Why this matters for modern fleets

Every additional kilometre carries cost: fuel or charge, rider hours, vehicle wear, and the risk of a late delivery. When routing decisions are made on intuition or static rules, those costs compound across hundreds of stops. Treating the route as a solvable optimisation problem — not a best guess — is what separates scalable operations from ones that simply add more vehicles.

  • Fewer vehicles deployed for the same delivery volume
  • Lower cost-per-drop through tighter, smarter sequencing
  • Predictable ETAs that protect customer trust and SLA targets
  • A cleaner, lower-emission footprint per parcel delivered

From data to decision

Doormile's MileTruth™ engine ingests orders, constraints and live conditions, then evaluates the routing problem across parallel strategy universes before committing to a plan. The result is a dispatch decision grounded in mathematics rather than heuristics — validated before a single rider leaves the hub.

Building a Greener City: The Future of Urban Logistics
Sustainability — operational intelligence applied at the point of dispatch.

We don't guess the route. We calculate it — and we prove it works before the wheels start turning.

— Doormile Operations

Putting it into practice

The teams that benefit most treat routing intelligence as core infrastructure, not an afterthought. Start by measuring your current cost-per-drop and SLA adherence, then let a precision engine reveal where distance, time and capacity are being lost. The gains are rarely theoretical — they show up directly in the next dispatch cycle.

  1. Benchmark today's distance, fleet size and on-time rate.
  2. Feed real constraints — capacity, windows, charge — into the engine.
  3. Validate routes against real-world conditions before dispatch.
  4. Measure the delta, then scale the approach across hubs.

Smarter routing is not about working harder on the road — it is about making the right decision before the journey begins. That is the foundation every Doormile deployment is built on.

Sustainability

Building a Greener City: The Future of Urban Logistics

Doormile Team2 min read

Cleaner delivery is becoming an operating requirement, not just a brand message. It depends on EV adoption and route plans that make those vehicles practical every day.

In last-mile logistics, a missed SLA is rarely caused by one big failure. It usually comes from small delays adding up across a route. Building a Greener City: The Future of Urban Logistics looks at how delivery teams can spot those delays early and plan around them before vehicles leave the hub.

Why this matters for fleet teams

Every extra kilometre costs money. It uses fuel or charge, adds rider time, wears down vehicles, and increases the chance of a late delivery. When routes are built from fixed zones or old habits, those costs repeat every day.

  • Fewer vehicles needed for the same number of drops
  • Lower cost per drop through better stop sequencing
  • ETAs that match traffic, distance, and delivery windows
  • Less fuel or charge used per completed order

From orders to dispatch

A good dispatch plan starts with the basics: order locations, promised delivery windows, rider capacity, vehicle range, and known traffic trouble spots. MileTruth™ checks those inputs before dispatch so the team is not fixing avoidable mistakes on the road.

Building a Greener City: The Future of Urban Logistics
Sustainability: route planning decisions made before dispatch.

A route should be checked before the rider leaves, not explained after the customer calls.

Doormile Operations

Putting it into practice

The best improvements usually start with simple measurements. Track distance per route, failed delivery windows, rider idle time, and orders moved between vehicles after dispatch. Those numbers show where the operation is leaking time.

  1. Benchmark today's distance, fleet size, and on-time rate.
  2. Include vehicle capacity, delivery windows, rider shifts, and battery charge.
  3. Check routes against traffic and customer commitments before dispatch.
  4. Compare the next dispatch cycle against the old plan.

Better routing is not about pushing riders harder. It is about giving them a plan that already accounts for the real day ahead.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch
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+1,4 @@ -Fleet Reduction Without Compromising Delivery Volume – Doormile
Fleet Management

Fleet Reduction Without Compromising Delivery Volume

Doormile Team2 min read

Cutting your fleet usually means cutting capacity — unless the kilometres you remove were never necessary in the first place. Smarter routing reclaims that wasted distance and turns it into headroom.

In last-mile logistics, the difference between a good day and a missed SLA is rarely a single dramatic failure — it is the quiet accumulation of small inefficiencies. Fleet Reduction Without Compromising Delivery Volume looks at how Doormile turns those margins into measurable advantage, and why a precision-first approach consistently outperforms guesswork on the road.

Why this matters for modern fleets

Every additional kilometre carries cost: fuel or charge, rider hours, vehicle wear, and the risk of a late delivery. When routing decisions are made on intuition or static rules, those costs compound across hundreds of stops. Treating the route as a solvable optimisation problem — not a best guess — is what separates scalable operations from ones that simply add more vehicles.

  • Fewer vehicles deployed for the same delivery volume
  • Lower cost-per-drop through tighter, smarter sequencing
  • Predictable ETAs that protect customer trust and SLA targets
  • A cleaner, lower-emission footprint per parcel delivered

From data to decision

Doormile's MileTruth™ engine ingests orders, constraints and live conditions, then evaluates the routing problem across parallel strategy universes before committing to a plan. The result is a dispatch decision grounded in mathematics rather than heuristics — validated before a single rider leaves the hub.

Fleet Reduction Without Compromising Delivery Volume
Fleet Management — operational intelligence applied at the point of dispatch.

We don't guess the route. We calculate it — and we prove it works before the wheels start turning.

— Doormile Operations

Putting it into practice

The teams that benefit most treat routing intelligence as core infrastructure, not an afterthought. Start by measuring your current cost-per-drop and SLA adherence, then let a precision engine reveal where distance, time and capacity are being lost. The gains are rarely theoretical — they show up directly in the next dispatch cycle.

  1. Benchmark today's distance, fleet size and on-time rate.
  2. Feed real constraints — capacity, windows, charge — into the engine.
  3. Validate routes against real-world conditions before dispatch.
  4. Measure the delta, then scale the approach across hubs.

Smarter routing is not about working harder on the road — it is about making the right decision before the journey begins. That is the foundation every Doormile deployment is built on.

Fleet Management

Fleet Reduction Without Compromising Delivery Volume

Doormile Team2 min read

Cutting vehicles usually means cutting capacity unless the removed kilometres were never needed. Better route planning turns wasted distance into operating headroom.

In last-mile logistics, a missed SLA is rarely caused by one big failure. It usually comes from small delays adding up across a route. Fleet Reduction Without Compromising Delivery Volume looks at how delivery teams can spot those delays early and plan around them before vehicles leave the hub.

Why this matters for fleet teams

Every extra kilometre costs money. It uses fuel or charge, adds rider time, wears down vehicles, and increases the chance of a late delivery. When routes are built from fixed zones or old habits, those costs repeat every day.

  • Fewer vehicles needed for the same number of drops
  • Lower cost per drop through better stop sequencing
  • ETAs that match traffic, distance, and delivery windows
  • Less fuel or charge used per completed order

From orders to dispatch

A good dispatch plan starts with the basics: order locations, promised delivery windows, rider capacity, vehicle range, and known traffic trouble spots. MileTruth™ checks those inputs before dispatch so the team is not fixing avoidable mistakes on the road.

Fleet Reduction Without Compromising Delivery Volume
Fleet Management: route planning decisions made before dispatch.

A route should be checked before the rider leaves, not explained after the customer calls.

Doormile Operations

Putting it into practice

The best improvements usually start with simple measurements. Track distance per route, failed delivery windows, rider idle time, and orders moved between vehicles after dispatch. Those numbers show where the operation is leaking time.

  1. Benchmark today's distance, fleet size, and on-time rate.
  2. Include vehicle capacity, delivery windows, rider shifts, and battery charge.
  3. Check routes against traffic and customer commitments before dispatch.
  4. Compare the next dispatch cycle against the old plan.

Better routing is not about pushing riders harder. It is about giving them a plan that already accounts for the real day ahead.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch
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Last-Mile EV Delivery – Doormile
Technology

How AI Is Transforming Last-Mile EV Delivery

Doormile Team2 min read

The last mile has always been logistics' most expensive and least predictable stretch. Add electric vehicles to the mix and the problem sharpens: now every route must respect not just time and capacity, but battery range. Artificial intelligence is what turns that constraint into an advantage.

For decades, last-mile delivery was planned the way it was a generation ago — dispatchers, spreadsheets, and hard-won intuition. That approach scales poorly, and it breaks entirely when you electrify the fleet. EVs introduce a moving constraint that no static plan can absorb: a vehicle's remaining range changes with load, terrain, traffic and temperature, all at once.

The shift from rules to learning

Traditional routing tools rely on fixed rules: nearest-stop-first, fixed zones, manual overrides. They are fast to set up and brittle in practice. Machine-learning-driven systems instead learn from outcomes — every completed delivery, every delay, every charge cycle becomes training signal that sharpens the next decision.

  • Demand forecasting that anticipates volume spikes before they hit the hub
  • Travel-time models trained on the city's real traffic, not generic averages
  • Battery-draw prediction tuned to each vehicle class and load profile
  • Continuous feedback that improves accuracy with every dispatch

Real-time adaptation

The real unlock is not planning — it is replanning. When a road closes, an order is added, or a vehicle's charge drops faster than expected, an AI-driven system re-optimises in milliseconds and reroutes the affected vehicles without a human in the loop. The plan stays optimal even as reality refuses to hold still.

Electric delivery vehicle routing visualisation
AI continuously re-evaluates range, load and traffic to keep every EV route feasible.

An electric fleet is only as good as the intelligence that routes it. The battery sets the limit — the algorithm decides whether you ever reach it.

— Doormile Engineering

What it means for operators

For fleet operators, the payoff is concrete: fewer vehicles covering the same ground, near-zero range-related failures, and ETAs accurate enough to commit to. AI does not replace the operator — it removes the guesswork, so the operator can run a larger, cleaner, more reliable fleet with the same team.

  1. Capture real operational data — deliveries, delays, charge cycles.
  2. Let models learn your city's actual travel and demand patterns.
  3. Validate every route against live battery capacity before dispatch.
  4. Re-optimise continuously as conditions change through the day.

The fleets pulling ahead are not the ones with the most vehicles — they are the ones with the smartest kilometre. That is the promise AI brings to last-mile EV delivery, and it is already on the road.

Technology

How Better Planning Improves Last-Mile EV Delivery

Doormile Team2 min read

The last mile is already difficult to plan. With electric vehicles, the team also has to think about battery range, charging time, rider load, traffic, and delivery windows. Good planning turns those moving parts into a workable dispatch plan.

For a long time, last-mile planning depended on dispatchers, spreadsheets, and local experience. That experience still matters. The problem is that it gets stretched thin when order volume rises and the fleet includes EVs.

The shift from fixed rules to daily planning

A fixed-zone plan may look clean in the morning, but the road rarely follows the plan. A rider may get delayed near Hitec City, a gated community may hold a vehicle for ten extra minutes, or a battery may drain faster because the load is heavier than usual.

  • Order volumes by area, time slot, and customer type
  • Travel times based on the city's actual traffic patterns
  • Battery use by vehicle type, rider load, and route length
  • Feedback from completed deliveries, failed attempts, and late arrivals

Adjusting during the day

The first plan is only the starting point. By 11 a.m., traffic may change, a high-priority order may arrive, or one vehicle may return with less charge than expected. The dispatch team needs a way to adjust without rebuilding the whole day by hand.

During peak traffic hours in Hyderabad, some vehicles were arriving 20 to 30 minutes later than planned. By adjusting routes based on live traffic and battery levels, the hub reduced missed delivery windows and improved on-time performance.

Electric delivery vehicle routing visualisation
EV route plans need to account for range, load, traffic, and charging time before riders leave the hub.

With EVs, a route is only useful if the vehicle can finish it and still return safely.

Doormile Operations

What this means for operators

For a fleet manager, this is not about fancy software. It is about fewer emergency calls, fewer mid-route swaps, and fewer customers asking why their delivery missed the promised window.

  1. Record delivery times, failed attempts, traffic delays, and charging cycles.
  2. Build travel-time estimates from the areas your riders actually serve.
  3. Check every route against battery capacity before dispatch.
  4. Replan when traffic, orders, or vehicle availability changes.

The fleets that improve fastest are usually not the ones adding vehicles first. They are the ones removing wasted distance, planning charging properly, and giving riders routes they can complete on time.

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@@ -How Doormile Maintains 99.9% SLA Compliance at Scale – Doormile
Operations

How Doormile Maintains 99.9% SLA Compliance at Scale

Doormile Team2 min read

An SLA you hit 99.9% of the time is not an average you got lucky on — it is a system designed so that missing is the exception, not the risk. Reliability, it turns out, is an engineering decision made long before dispatch.

In last-mile logistics, the difference between a good day and a missed SLA is rarely a single dramatic failure — it is the quiet accumulation of small inefficiencies. How Doormile Maintains 99.9% SLA Compliance at Scale looks at how Doormile turns those margins into measurable advantage, and why a precision-first approach consistently outperforms guesswork on the road.

Why this matters for modern fleets

Every additional kilometre carries cost: fuel or charge, rider hours, vehicle wear, and the risk of a late delivery. When routing decisions are made on intuition or static rules, those costs compound across hundreds of stops. Treating the route as a solvable optimisation problem — not a best guess — is what separates scalable operations from ones that simply add more vehicles.

  • Fewer vehicles deployed for the same delivery volume
  • Lower cost-per-drop through tighter, smarter sequencing
  • Predictable ETAs that protect customer trust and SLA targets
  • A cleaner, lower-emission footprint per parcel delivered

From data to decision

Doormile's MileTruth™ engine ingests orders, constraints and live conditions, then evaluates the routing problem across parallel strategy universes before committing to a plan. The result is a dispatch decision grounded in mathematics rather than heuristics — validated before a single rider leaves the hub.

How Doormile Maintains 99.9% SLA Compliance at Scale
Operations — operational intelligence applied at the point of dispatch.

We don't guess the route. We calculate it — and we prove it works before the wheels start turning.

— Doormile Operations

Putting it into practice

The teams that benefit most treat routing intelligence as core infrastructure, not an afterthought. Start by measuring your current cost-per-drop and SLA adherence, then let a precision engine reveal where distance, time and capacity are being lost. The gains are rarely theoretical — they show up directly in the next dispatch cycle.

  1. Benchmark today's distance, fleet size and on-time rate.
  2. Feed real constraints — capacity, windows, charge — into the engine.
  3. Validate routes against real-world conditions before dispatch.
  4. Measure the delta, then scale the approach across hubs.

Smarter routing is not about working harder on the road — it is about making the right decision before the journey begins. That is the foundation every Doormile deployment is built on.

Operations

How Doormile Maintains 99.9% SLA Compliance at Scale

Doormile Team2 min read

Strong SLA performance is not luck. It comes from planning the day so late deliveries are the exception, not the expected risk.

In last-mile logistics, a missed SLA is rarely caused by one big failure. It usually comes from small delays adding up across a route. How Doormile Maintains 99.9% SLA Compliance at Scale looks at how delivery teams can spot those delays early and plan around them before vehicles leave the hub.

Why this matters for fleet teams

Every extra kilometre costs money. It uses fuel or charge, adds rider time, wears down vehicles, and increases the chance of a late delivery. When routes are built from fixed zones or old habits, those costs repeat every day.

  • Fewer vehicles needed for the same number of drops
  • Lower cost per drop through better stop sequencing
  • ETAs that match traffic, distance, and delivery windows
  • Less fuel or charge used per completed order

From orders to dispatch

A good dispatch plan starts with the basics: order locations, promised delivery windows, rider capacity, vehicle range, and known traffic trouble spots. MileTruth™ checks those inputs before dispatch so the team is not fixing avoidable mistakes on the road.

How Doormile Maintains 99.9% SLA Compliance at Scale
Operations: route planning decisions made before dispatch.

A route should be checked before the rider leaves, not explained after the customer calls.

Doormile Operations

Putting it into practice

The best improvements usually start with simple measurements. Track distance per route, failed delivery windows, rider idle time, and orders moved between vehicles after dispatch. Those numbers show where the operation is leaking time.

  1. Benchmark today's distance, fleet size, and on-time rate.
  2. Include vehicle capacity, delivery windows, rider shifts, and battery charge.
  3. Check routes against traffic and customer commitments before dispatch.
  4. Compare the next dispatch cycle against the old plan.

Better routing is not about pushing riders harder. It is about giving them a plan that already accounts for the real day ahead.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

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Smarter Dispatch – Doormile
MileTruth

MileTruth™ AI — 10 Stages to Smarter Dispatch

Doormile Team2 min read

Behind every Doormile dispatch is a pipeline that turns raw orders into a validated, optimal route in under 45 milliseconds. This is how MileTruth™ does it — ten stages, each one removing a source of error before the next begins.

Speed and correctness are usually a trade-off. MileTruth is engineered to deliver both: a routing decision fast enough to feel instant, yet rigorous enough to commit a fleet to. The secret is a staged pipeline where each step has a single responsibility and hands clean, validated data to the next.

The ten stages

  1. Ingestion — orders, constraints and fleet state are normalised on arrival.
  2. Validation — addresses, time windows and capacities are checked and geocoded.
  3. Demand modelling — volume and service-time estimates are attached to each stop.
  4. Travel-time estimation — real-world, time-of-day travel matrices are built.
  5. Constraint assembly — capacity, range, windows and rules are encoded.
  6. Strategy generation — multiple routing universes are explored in parallel.
  7. Optimisation — the solver searches for the minimum-cost feasible plan.
  8. Battery / range validation — EV routes are checked against real charge capacity.
  9. ETA pre-validation — promised times are verified before any commitment.
  10. Output — the final, validated route is emitted to dispatch.

Why staging matters

Collapsing these steps into one monolithic calculation is how most tools accumulate hidden errors. By isolating each concern, MileTruth catches a bad address before it reaches the solver, and an infeasible battery plan before it reaches a rider. Each stage is independently testable, observable and fast.

MileTruth routing pipeline diagram
Ten focused stages turn raw orders into a validated route in well under 45 milliseconds.

Each stage exists to delete a category of mistake. By the time a route reaches dispatch, the questionable decisions have already been ruled out.

— MileTruth Engineering

Parallel strategy universes

Stage six is where MileTruth diverges from conventional routers. Rather than committing to one heuristic, it generates several distinct routing strategies simultaneously — each a complete candidate plan — and lets the optimiser select the best. Powered by a mathematical solver, it evaluates trade-offs no dispatcher could hold in their head.

  • Multiple candidate plans evaluated, not a single best guess
  • Mathematical optimisation instead of fixed heuristics
  • Range and ETA validated inside the loop, not bolted on after
  • Sub-45ms output that keeps dispatch genuinely real-time

Ten stages, one outcome: a route you can trust enough to commit a fleet to — calculated, validated, and delivered before a dispatcher could finish reading the order list.

MileTruth

MileTruth™: 10 Stages to Smarter Dispatch

Doormile Team2 min read

Behind every Doormile dispatch is a step-by-step route planning process. Each stage removes a common source of error before the plan reaches the rider.

A dispatch plan has to be fast, but it also has to be usable. A quick route that ignores a bad address, low battery, or tight delivery window creates problems later in the day.

The ten stages

  1. Order intake: new orders, rider availability, and vehicle status are collected.
  2. Address check: delivery points, time windows, and service notes are verified.
  3. Stop planning: each stop gets an expected service time and delivery priority.
  4. Travel-time check: routes are compared against time-of-day traffic.
  5. Constraint check: capacity, shift time, customer windows, and range are applied.
  6. Route options: several possible plans are built for the same order set.
  7. Plan selection: the lowest-cost workable route plan is selected.
  8. Battery check: EV routes are checked against real charge capacity.
  9. ETA check: promised delivery times are verified before dispatch.
  10. Dispatch output: the final route is sent to the operations team.

Why staging matters

When everything is checked in one step, small errors slip through. A wrong pin, a missing apartment note, or a low battery warning can reach the rider and become a customer issue.

MileTruth routing pipeline diagram
A staged dispatch process catches address, range, and ETA issues before riders leave.

Each stage should remove one kind of mistake. By dispatch time, the route should already be practical.

MileTruth Engineering

Comparing route options

The useful part is not only building one route. It is comparing a few workable route options before choosing the plan. One option may save distance, another may protect a tight delivery window, and another may keep an EV closer to a charger.

  • Several route plans checked before dispatch
  • Distance, time windows, capacity, and range considered together
  • Range and ETA checked before the route reaches the rider
  • Fast output that still leaves room for dispatcher review

The goal is simple: give the dispatch team a route plan they can trust before the first vehicle leaves the hub.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch
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-1,4 +1,4 @@ -The EV Paradox: Solving Range Anxiety for Urban Fleets – Doormile
EV Fleet

The EV Paradox: Solving Range Anxiety for Urban Fleets

Doormile Team2 min read

Electric fleets promise cleaner cities and lower running costs — but they trade one problem for another. Range becomes a hard constraint on every route, and range anxiety becomes an operational risk. Solving it before dispatch is the whole game.

In last-mile logistics, the difference between a good day and a missed SLA is rarely a single dramatic failure — it is the quiet accumulation of small inefficiencies. The EV Paradox: Solving Range Anxiety for Urban Fleets looks at how Doormile turns those margins into measurable advantage, and why a precision-first approach consistently outperforms guesswork on the road.

Why this matters for modern fleets

Every additional kilometre carries cost: fuel or charge, rider hours, vehicle wear, and the risk of a late delivery. When routing decisions are made on intuition or static rules, those costs compound across hundreds of stops. Treating the route as a solvable optimisation problem — not a best guess — is what separates scalable operations from ones that simply add more vehicles.

  • Fewer vehicles deployed for the same delivery volume
  • Lower cost-per-drop through tighter, smarter sequencing
  • Predictable ETAs that protect customer trust and SLA targets
  • A cleaner, lower-emission footprint per parcel delivered

From data to decision

Doormile's MileTruth™ engine ingests orders, constraints and live conditions, then evaluates the routing problem across parallel strategy universes before committing to a plan. The result is a dispatch decision grounded in mathematics rather than heuristics — validated before a single rider leaves the hub.

The EV Paradox: Solving Range Anxiety for Urban Fleets
EV Fleet — operational intelligence applied at the point of dispatch.

We don't guess the route. We calculate it — and we prove it works before the wheels start turning.

— Doormile Operations

Putting it into practice

The teams that benefit most treat routing intelligence as core infrastructure, not an afterthought. Start by measuring your current cost-per-drop and SLA adherence, then let a precision engine reveal where distance, time and capacity are being lost. The gains are rarely theoretical — they show up directly in the next dispatch cycle.

  1. Benchmark today's distance, fleet size and on-time rate.
  2. Feed real constraints — capacity, windows, charge — into the engine.
  3. Validate routes against real-world conditions before dispatch.
  4. Measure the delta, then scale the approach across hubs.

Smarter routing is not about working harder on the road — it is about making the right decision before the journey begins. That is the foundation every Doormile deployment is built on.

EV Fleet

The EV Paradox: Solving Range Anxiety for Urban Fleets

Doormile Team2 min read

Electric fleets can lower running costs, but range becomes a daily planning constraint. The route has to match the battery, the load, the traffic, and the return plan.

In last-mile logistics, a missed SLA is rarely caused by one big failure. It usually comes from small delays adding up across a route. The EV Paradox: Solving Range Anxiety for Urban Fleets looks at how delivery teams can spot those delays early and plan around them before vehicles leave the hub.

Why this matters for fleet teams

Every extra kilometre costs money. It uses fuel or charge, adds rider time, wears down vehicles, and increases the chance of a late delivery. When routes are built from fixed zones or old habits, those costs repeat every day.

  • Fewer vehicles needed for the same number of drops
  • Lower cost per drop through better stop sequencing
  • ETAs that match traffic, distance, and delivery windows
  • Less fuel or charge used per completed order

From orders to dispatch

A good dispatch plan starts with the basics: order locations, promised delivery windows, rider capacity, vehicle range, and known traffic trouble spots. MileTruth™ checks those inputs before dispatch so the team is not fixing avoidable mistakes on the road.

The EV Paradox: Solving Range Anxiety for Urban Fleets
EV Fleet: route planning decisions made before dispatch.

A route should be checked before the rider leaves, not explained after the customer calls.

Doormile Operations

Putting it into practice

The best improvements usually start with simple measurements. Track distance per route, failed delivery windows, rider idle time, and orders moved between vehicles after dispatch. Those numbers show where the operation is leaking time.

  1. Benchmark today's distance, fleet size, and on-time rate.
  2. Include vehicle capacity, delivery windows, rider shifts, and battery charge.
  3. Check routes against traffic and customer commitments before dispatch.
  4. Compare the next dispatch cycle against the old plan.

Better routing is not about pushing riders harder. It is about giving them a plan that already accounts for the real day ahead.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch
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Technology

Why Mathematical Precision Beats Heuristics in Routing

Doormile Team2 min read

Heuristics are fast to build and easy to trust — until they quietly cost you a vehicle a day. Mathematical optimisation asks more of the engine and gives more back: provably better routes, every dispatch, at scale.

In last-mile logistics, the difference between a good day and a missed SLA is rarely a single dramatic failure — it is the quiet accumulation of small inefficiencies. Why Mathematical Precision Beats Heuristics in Routing looks at how Doormile turns those margins into measurable advantage, and why a precision-first approach consistently outperforms guesswork on the road.

Why this matters for modern fleets

Every additional kilometre carries cost: fuel or charge, rider hours, vehicle wear, and the risk of a late delivery. When routing decisions are made on intuition or static rules, those costs compound across hundreds of stops. Treating the route as a solvable optimisation problem — not a best guess — is what separates scalable operations from ones that simply add more vehicles.

  • Fewer vehicles deployed for the same delivery volume
  • Lower cost-per-drop through tighter, smarter sequencing
  • Predictable ETAs that protect customer trust and SLA targets
  • A cleaner, lower-emission footprint per parcel delivered

From data to decision

Doormile's MileTruth™ engine ingests orders, constraints and live conditions, then evaluates the routing problem across parallel strategy universes before committing to a plan. The result is a dispatch decision grounded in mathematics rather than heuristics — validated before a single rider leaves the hub.

Why Mathematical Precision Beats Heuristics in Routing
Technology — operational intelligence applied at the point of dispatch.

We don't guess the route. We calculate it — and we prove it works before the wheels start turning.

— Doormile Operations

Putting it into practice

The teams that benefit most treat routing intelligence as core infrastructure, not an afterthought. Start by measuring your current cost-per-drop and SLA adherence, then let a precision engine reveal where distance, time and capacity are being lost. The gains are rarely theoretical — they show up directly in the next dispatch cycle.

  1. Benchmark today's distance, fleet size and on-time rate.
  2. Feed real constraints — capacity, windows, charge — into the engine.
  3. Validate routes against real-world conditions before dispatch.
  4. Measure the delta, then scale the approach across hubs.

Smarter routing is not about working harder on the road — it is about making the right decision before the journey begins. That is the foundation every Doormile deployment is built on.

Technology

Why Mathematical Precision Beats Heuristics in Routing

Doormile Team2 min read

Simple routing rules are fast to set up, but they can quietly add distance every day. Better planning compares more route options before dispatch.

In last-mile logistics, a missed SLA is rarely caused by one big failure. It usually comes from small delays adding up across a route. Why Mathematical Precision Beats Heuristics in Routing looks at how delivery teams can spot those delays early and plan around them before vehicles leave the hub.

Why this matters for fleet teams

Every extra kilometre costs money. It uses fuel or charge, adds rider time, wears down vehicles, and increases the chance of a late delivery. When routes are built from fixed zones or old habits, those costs repeat every day.

  • Fewer vehicles needed for the same number of drops
  • Lower cost per drop through better stop sequencing
  • ETAs that match traffic, distance, and delivery windows
  • Less fuel or charge used per completed order

From orders to dispatch

A good dispatch plan starts with the basics: order locations, promised delivery windows, rider capacity, vehicle range, and known traffic trouble spots. MileTruth™ checks those inputs before dispatch so the team is not fixing avoidable mistakes on the road.

Why Mathematical Precision Beats Heuristics in Routing
Technology: route planning decisions made before dispatch.

A route should be checked before the rider leaves, not explained after the customer calls.

Doormile Operations

Putting it into practice

The best improvements usually start with simple measurements. Track distance per route, failed delivery windows, rider idle time, and orders moved between vehicles after dispatch. Those numbers show where the operation is leaking time.

  1. Benchmark today's distance, fleet size, and on-time rate.
  2. Include vehicle capacity, delivery windows, rider shifts, and battery charge.
  3. Check routes against traffic and customer commitments before dispatch.
  4. Compare the next dispatch cycle against the old plan.

Better routing is not about pushing riders harder. It is about giving them a plan that already accounts for the real day ahead.

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

Tell us about your fleet and routes — we'll show you where the distance, vehicles and emissions are hiding.

Get in Touch

Related Articles

Let's talk logistics

Ready to move smarter with Doormile?

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Beyond Boundaries
Connected Logistics
/ Connected Logistics /

Smart logistics solutions we deliver for modern supply chains

Real-Time Visibility

See every shipment, every vehicle, every handoff—live. No blind spots.

Dynamic Route Adjustment

AI continuously optimizes routes based on traffic, weather, and real-world conditions.

Proactive Delay Prevention

Detect SLA risks hours before they become problems. Act, don't react.

Execution Intelligence

Learn from every delivery. Get smarter with every mile traveled.

/ Doormile Approach /
The Doormile Way

Smarter, Faster, Connected Logistics

We connect first mile and last mile into one seamless system, reducing delays and improving efficiency. With real-time tracking and digital workflows,
every delivery is faster, reliable, and fully transparent.

Seamless logistics powered by real-time tracking, digital processes, and reliable delivery execution.

End-to-End Protection

End-to-end visibility ensures every shipment stays secure and on schedule.

Proactive delay prevention

Real-time monitoring helps prevent delays before they impact deliveries.

Single owner, single promise

One unified system manages the entire delivery process seamlessly.

Dynamic AI-driven adjustments

AI-powered routing adapts instantly to improve speed and efficiency.

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