我用Mabpox-gl-js v0.45 POC-ing集群。
我想自定义我的群集属性(实际默认值为point_count和point_count_abbreviated)。我的每个点(每个城市一个)都有一个表面属性(整数),我希望在点聚集时求和。
我在mapbox's sources中看到了一个用于计算自定义属性的reduce函数的引用:
SuperCluster.prototype = {
options: {
minZoom: 0, // min zoom to generate clusters on
// .....
log: false, // whether to log timing info
// a reduce function for calculating custom cluster properties
reduce: null, // function (accumulated, props) { accumulated.sum += props.sum; }
// initial properties of a cluster (before running the reducer)
initial: function () { return {}; }, // function () { return {sum: 0}; },
// properties to use for individual points when running the reducer
map: function (props) { return props; } // function (props) { return {sum: props.my_value}; },
},
但我在文档中没有看到任何关于它的提及。 如何设置这些选项?
Mapbox似乎不会发布这些界面(see cluster's documentation),并且没有在provided exemple上提及:
map.addSource("earthquakes", {
type: "geojson",
// Point to GeoJSON data. This example visualizes all M1.0+ earthquakes
// from 12/22/15 to 1/21/16 as logged by USGS' Earthquake hazards program.
data: "/mapbox-gl-js/assets/earthquakes.geojson",
cluster: true,
clusterMaxZoom: 14, // Max zoom to cluster points on
clusterRadius: 50 // Radius of each cluster when clustering points (defaults to 50)
});
答案 0 :(得分:1)
有人给了我一个解决方法:不要使用嵌入式supecluster,而是自己创建并将其用作源:
var myCluster = supercluster({
radius: 40,
maxZoom: 16,
reduce: function(p) { /* I can use reduce/map/... functions! */ }
});
// My clustered source is created without Mapbox's clusters since I managed my clusters outside Mapbox library.
map.addSource("earthquakes", {
type: "geojson",
data : {
"type" : "FeatureCollection",
"features" : []
}
});
function loadRemoteGeoJson() {
var features
// Do what you want, when you want to retrieve remote features...
// ...
// In the end set features into your supercluster
myCluster.load(features)
pushClusterIntoMapbox(map)
}
// Function to call when you load remote data AND when you zoom in or out !
function pushClusterIntoMapbox(map) {
// I maybe should be bounded here...
var clusters = myCluster.getClusters([ -180.0000, -90.0000, 180.0000, 90.0000 ], Math
.floor(map.getZoom()))
// My colleague advice me to use http://turfjs.org as helper but I think it's quite optionnal
var features = turf.featureCollection(clusters)
map.getSource("earthquakes").setData(features)
}
答案 1 :(得分:0)
它看起来好像是常规缩减。每个点都会调用一个,并允许您使用该点的属性为整个集群创建属性。
所以,如果你像这样定义你的;
supercluster({
reduce: (clusterProps, pointProps) => {
clusterProps.sum += pointProps.surface;
}
});
然后,群集上的sum
属性将是点上所有surface
属性的总和。