ebola cases

This is a simple setup of Leaflet (via Mapbox) with d3 to show dots on a map. This can serve as a base for many interesting geographically based visualizations

Nice overview of using d3 + Leaflet. I found this slightly simpler to use than Mike's classic post.

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forked from enjalot's block: ebola cases

forked from scresawn's block: ebola cases

<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
  <script src='https://api.mapbox.com/mapbox.js/v2.2.3/mapbox.js'></script>
  <link href='https://api.mapbox.com/mapbox.js/v2.2.3/mapbox.css' rel='stylesheet' />
  <style>
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
    #map { 
      position:absolute; 
      width: 100%;
      height: 100%;
    }
  </style>
</head>
 <input type="checkbox" name="drc" onclick= "drcClicked()" > DRC<br>
    <input type="checkbox" name="guin" onclick= "guinClicked()" > Guinea<br>
    <input type="checkbox" name="lib" onclick= "libClicked()" > Liberia<br>
  <div id="map"></div>
  <script>
  function drcClicked(){
      alert("DRC")
      g.selectAll("cirle.dot")
     ;
    }   
    function guinClicked(){
      alert("Guinea");
    }  
    function libClicked(){
      alert("Liberia");
    }     
   
    L.mapbox.accessToken = 'pk.eyJ1IjoiZW5qYWxvdCIsImEiOiJjaWhtdmxhNTIwb25zdHBsejk0NGdhODJhIn0.2-F2hS_oTZenAWc0BMf_uw'
    
    //Setup our Leaflet map using Mapbox.js
    var map = L.mapbox.map('map', 'mapbox.light')
    .setView([20,-30], 3);
    
    // Setup our svg layer that we can manipulate with d3
    var svg = d3.select(map.getPanes().overlayPane)
      .append("svg");
    var g = svg.append("g").attr("class", "leaflet-zoom-hide");
    
    function project(ll) {
      console.log("ll:", ll);
      // our data came from csv, make it Leaflet friendly
      //var a = [+ll.lat, +ll.lon];
      var b = [+ll[1], +ll[0]];
      // convert it to pixel coordinates
      var point = map.latLngToLayerPoint(L.latLng(b))
      return point;
    }
  
    d3.json("data.json", function(err, data) {
      console.log("data:", data);
      var dots = g.selectAll("circle.dot")
        .data(data.features)
      
      dots.enter().append("circle").classed("dot", true)
      .attr("r", 250)
      .style({
        fill: "#fe9523",
        "fill-opacity": 0.6,
        stroke: "#004d60",
        "stroke-width": 0
      })
      .transition().duration(3000)
      .style({
        fill: "#fe9523",
        "fill-opacity": 0.6,
        stroke: "#004d60",
        "stroke-width": 1
      })
      .attr("r", 6)
      
      
      function render() {
        // We need to reposition our SVG and our containing group when the map
        // repositions via zoom or pan
        // https://github.com/zetter/voronoi-maps/blob/master/lib/voronoi_map.js
        var bounds = map.getBounds();
        var topLeft = map.latLngToLayerPoint(bounds.getNorthWest())
        var bottomRight = map.latLngToLayerPoint(bounds.getSouthEast())
        svg.style("width", map.getSize().x + "px")
          .style("height", map.getSize().y + "px")
          .style("left", topLeft.x + "px")
          .style("top", topLeft.y + "px");
        g.attr("transform", "translate(" + -topLeft.x + "," + -topLeft.y + ")");

// We reproject our data with the updated projection from leaflet
        g.selectAll("circle.dot")
        .attr({
          cx: function(d) { 
            console.log("d.geometry.coordinates", d.geometry.coordinates)
            return project(d.geometry.coordinates).x
          },
          cy: function(d) { 
            return project(d.geometry.coordinates).y
          },
        })

}

// re-render our visualization whenever the view changes
      map.on("viewreset", function() {
        render()
      })
      map.on("move", function() {
        render()
      })

// render our initial visualization
      render()
    })
    
  </script>
</body>

https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js

https://api.mapbox.com/mapbox.js/v2.2.3/mapbox.js