我们有时候需要观察地图 不同地方数据的所在范围和分布密集情况，热力图和聚合点的使用无疑是最好的选择。
1.首先说说百度地图，只做国内的地图可以使用百度地图的海量点和热力图还是蛮好用的。
a.海量点的最大好处是加载很多数据点的情况下不卡顿。
b.如果是画mark在地图上，当点多的时候，会很卡。
c.我之所以用谷歌地图的热力图，是因为我发现百度地图的热力图没有叠加功能，满足不了我的需求。比如说我想了解全国姓张，李，王的人的对比分布，我想要姓张的区域显示红色，姓李的显示蓝色，姓王的显示橙色。这个需求百度地图无法满足我，但是谷歌可以。
2.说说谷歌地图，谷歌地图的热力图我就不说了，https://developers.google.com/maps/documentation/javascript/examples/ 这里面有实例的。
a.谷歌地图支持热力图叠加，但是没有海量点，这一点让我很难过，如果全部画marker的话，数据点太多，加载太卡
b.这就用到了谷歌聚合点，如图
3.代码实例，主要看看引用了哪些个文件，我是从 https://github.com/Leaflet/Leaflet.markercluster 找到的下载包和实例
<!DOCTYPE html> <html> <head> <title>Leaflet debug page</title> <link rel="stylesheet" href="https://unpkg.com/leaflet@1.0.3/dist/leaflet.css" integrity="sha512-07I2e+7D8p6he1SIM+1twR5TIrhUQn9+I6yjqD53JQjFiMf8EtC93ty0/5vJTZGF8aAocvHYNEDJajGdNx1IsQ==" crossorigin="" /> <script src="https://unpkg.com/leaflet@1.0.3/dist/leaflet-src.js" integrity="sha512-WXoSHqw/t26DszhdMhOXOkI7qCiv5QWXhH9R7CgvgZMHz1ImlkVQ3uNsiQKu5wwbbxtPzFXd1hK4tzno2VqhpA==" crossorigin=""></script> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <link rel="stylesheet" href="screen.css" /> <link rel="stylesheet" href="../dist/MarkerCluster.css" /> <link rel="stylesheet" href="../dist/MarkerCluster.Default.css" /> <script src="../dist/leaflet.markercluster-src.js"></script> </head> <body> <div id="map"></div> <button id="populate">Populate 1 marker</button> <button id="remove">Remove 1 marker</button> <script type="text/javascript"> var tiles = L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', { maxZoom: 18, attribution: '© <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors' }), latlng = new L.LatLng(50.5, 30.51); var map = new L.Map('map', {center: latlng, zoom: 15, layers: [tiles]}); var markers = new L.MarkerClusterGroup(); var markersList = []; function populate() { for (var i = 0; i < 100; i++) { var m = new L.Marker(getRandomLatLng(map)); markersList.push(m); markers.addLayer(m); } return false; } function populateRandomVector() { for (var i = 0, latlngs = [], len = 20; i < len; i++) { latlngs.push(getRandomLatLng(map)); } var path = new L.Polyline(latlngs); map.addLayer(path); } function getRandomLatLng(map) { var bounds = map.getBounds(), southWest = bounds.getSouthWest(), northEast = bounds.getNorthEast(), lngSpan = northEast.lng - southWest.lng, latSpan = northEast.lat - southWest.lat; return new L.LatLng( southWest.lat + latSpan * Math.random(), southWest.lng + lngSpan * Math.random()); } markers.on('clusterclick', function (a) { alert('cluster ' + a.layer.getAllChildMarkers().length); }); markers.on('click', function (a) { alert('marker ' + a.layer); }); populate(); map.addLayer(markers); L.DomUtil.get('populate').onclick = function () { var bounds = map.getBounds(), southWest = bounds.getSouthWest(), northEast = bounds.getNorthEast(), lngSpan = northEast.lng - southWest.lng, latSpan = northEast.lat - southWest.lat; var m = new L.Marker(new L.LatLng( southWest.lat + latSpan * 0.5, southWest.lng + lngSpan * 0.5)); markersList.push(m); markers.addLayer(m); }; L.DomUtil.get('remove').onclick = function () { markers.removeLayer(markersList.pop()); }; </script> </body> </html>