请帮我用MarkerClustererPlus创建标记簇。 我用以下内容加载数据:
layer = map.data.loadGeoJson('resources/data.geojson');
并且标记是可见的,但我不知道如何创建markercluster。 我是否必须将data.geojson文件解析为数组?感谢。
function initialize() {
map = new google.maps.Map(document.getElementById('map'), mapOptions);
layer = map.data.loadGeoJson('resources/data.geojson');
map.data.setStyle({icon: icon});
map.data.addListener('click', function(event) {
var myHTML = event.feature.getProperty('name');
infobox.setContent("<div style='width:150px; text-align: center;'>"+myHTML+"</div>");
infobox.setPosition(event.feature.getGeometry().get());
infobox.setOptions({pixelOffset: new google.maps.Size(0,0)});
infobox.open(map);
});
google.maps.event.addListener(map, "click", function(){
infobox.close();
});
map.mapTypes.set('map_style', styledMap);
map.setMapTypeId('map_style');
}
google.maps.event.addDomListener(window, 'load', initialize);
这是我的GeoJson-File的一部分(这篇文章和整个文件由GeoJSONLint测试。
{
"type": "FeatureCollection",
"icon": "resources/icon.png",
"features": [
{
"type": "Feature","properties": {"name":"Bielefeld"},
"geometry": {"type": "Point","coordinates":[8.528849, 52.030656]}
},
{
"type": "Feature","properties": {"name":"Herford"},
"geometry": {"type": "Point","coordinates":[8.676780, 52.118003]}
},
{
"type": "Feature","properties": {"name":"Guetersloh"},
"geometry": {"type": "Point","coordinates":[8.383353, 51.902917]}
}
]
}
答案 0 :(得分:7)
创建MarkerClusterer来管理标记。
var markerClusterer = new MarkerClusterer();
addfeature
事件时,将每个标记添加到其中。
markerClusterer.addMarker(marker);
隐藏数据图层标记。
map.data.setMap(null);
var markerClusterer = new MarkerClusterer();
function initialize() {
var mapOptions = {
center: new google.maps.LatLng(52, 8),
zoom: 4
};
map = new google.maps.Map(document.getElementById('map'), mapOptions);
markerClusterer.setMap(map);
google.maps.event.addListener(map.data, 'addfeature', function (e) {
if (e.feature.getGeometry().getType() === 'Point') {
var marker = new google.maps.Marker({
position: e.feature.getGeometry().get(),
title: e.feature.getProperty('name'),
map: map
});
// open the infoBox when the marker is clicked
google.maps.event.addListener(marker, 'click', function (marker, e) {
return function () {
var myHTML = e.feature.getProperty('name');
boxText.innerHTML = "<div style='text-align: center;'><b>" + myHTML + "</b></div>";
infobox.setPosition(e.feature.getGeometry().get());
infobox.setOptions({
pixelOffset: new google.maps.Size(0, 0)
});
infobox.open(map);
};
}(marker, e));
markerClusterer.addMarker(marker);
bounds.extend(e.feature.getGeometry().get());
map.fitBounds(bounds);
map.setCenter(e.feature.getGeometry().get());
}
});
layer = map.data.addGeoJson(geoJson);
map.data.setMap(null);
google.maps.event.addListener(map, "click", function () {
infobox.close();
});
}
代码段
var geoJson = {
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"properties": {
"name": "Bielefeld"
},
"geometry": {
"type": "Point",
"coordinates": [8.528849, 52.030656]
}
}, {
"type": "Feature",
"properties": {
"name": "Herford"
},
"geometry": {
"type": "Point",
"coordinates": [8.676780, 52.118003]
}
}, {
"type": "Feature",
"properties": {
"name": "Guetersloh"
},
"geometry": {
"type": "Point",
"coordinates": [8.383353, 51.902917]
}
}, {
"type": "Feature",
"properties": {
"name": "Guetersloh2"
},
"geometry": {
"type": "Point",
"coordinates": [8.38, 51.9]
}
}]
};
var map = null;
var bounds = new google.maps.LatLngBounds();
var boxText = document.createElement("div");
boxText.style.cssText = "border: 1px solid black; margin-top: 8px; background: yellow; padding: 5px;";
var infobox = new InfoBox({
content: boxText,
disableAutoPan: false,
maxWidth: 0,
pixelOffset: new google.maps.Size(-140, 0),
zIndex: null,
boxStyle: {
background: "url('tipbox.gif') no-repeat",
opacity: 0.75,
width: "280px"
},
closeBoxMargin: "10px 2px 2px 2px",
closeBoxURL: "http://www.google.com/intl/en_us/mapfiles/close.gif",
infoBoxClearance: new google.maps.Size(1, 1),
isHidden: false,
pane: "floatPane",
enableEventPropagation: false
});
var markerClusterer = new MarkerClusterer(null, null, {
imagePath: "https://cdn.rawgit.com/googlemaps/v3-utility-library/master/markerclustererplus/images/m"
});
function initialize() {
var mapOptions = {
center: new google.maps.LatLng(52, 8),
zoom: 4
};
map = new google.maps.Map(document.getElementById('map'), mapOptions);
markerClusterer.setMap(map);
google.maps.event.addListener(map.data, 'addfeature', function(e) {
if (e.feature.getGeometry().getType() === 'Point') {
var marker = new google.maps.Marker({
position: e.feature.getGeometry().get(),
title: e.feature.getProperty('name'),
map: map
});
google.maps.event.addListener(marker, 'click', function(marker, e) {
return function() {
var myHTML = e.feature.getProperty('name');
boxText.innerHTML = "<div style='text-align: center;'><b>" + myHTML + "</b></div>";
infobox.setPosition(e.feature.getGeometry().get());
infobox.setOptions({
pixelOffset: new google.maps.Size(0, 0)
});
infobox.open(map);
};
}(marker, e));
markerClusterer.addMarker(marker);
bounds.extend(e.feature.getGeometry().get());
map.fitBounds(bounds);
map.setCenter(e.feature.getGeometry().get());
}
});
layer = map.data.addGeoJson(geoJson);
map.data.setMap(null);
google.maps.event.addListener(map, "click", function() {
infobox.close();
});
}
google.maps.event.addDomListener(window, 'load', initialize);
#map {
width: 500px;
height: 500px;
}
<script src="https://maps.googleapis.com/maps/api/js"></script>
<script src="https://cdn.rawgit.com/googlemaps/v3-utility-library/master/infobox/src/infobox.js"></script>
<script src="https://cdn.rawgit.com/googlemaps/v3-utility-library/master/markerclustererplus/src/markerclusterer.js"></script>
<div id="map"></div>
答案 1 :(得分:4)
无法通过API访问为数据层创建的形状,但您必须具有对标记的引用才能将它们添加到群集器中。
可能的解决方案:
观察addfeature
- 数据事件并创建自己的标记。为数据层隐藏创建的标记(通过visible
- 样式设置为false或在以后不需要访问时完全删除该功能)
示例:
var mc=new MarkerClusterer(map);
map.data.addListener('addfeature',function(e){
var geo= e.feature.getGeometry();
if(geo.getType()==='Point'){
mc.addMarker(new google.maps.Marker({position:geo.get(),
title :e.feature.getProperty('name')}));
map.data.remove(e.feature);
}
});
演示:http://jsfiddle.net/doktormolle/myuua77p/
当然这个解决方案会产生一些开销。当FeatureCollection中只有Points时,你最好自己解析geoJSON而不是使用数据层
答案 2 :(得分:2)
相当古老的问题,但是不再需要绕道而行添加常规标记并从数据层清除它们(特别是如果您需要稍后在编辑地图后再次将地图内容作为GeoJSON)。
您可以使用我刚刚增强的https://github.com/Connum/data-layer-clusterer,使其适用于LineString和Polygon功能。
这是一个有效的例子:
window.initMap = function() {
map = new google.maps.Map(document.getElementById('map'), {
center: {lat: 49.0192242, lng: 8.4051448},
zoom: 13,
scaleControl: false,
streetViewControl: false,
rotateControl: false,
});
var s = document.createElement( 'script' );
s.setAttribute( 'src', 'https://cdn.rawgit.com/Connum/data-layer-clusterer/master/src/datalayerclusterer.js' );
s.async = false;
document.head.appendChild( s );
s.onload = function() {
var cluster = new DataLayerClusterer({
"map": map
});
cluster.addGeoJson({
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.404455900017638,
49.013533476349956
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.401044130150694,
49.01396272155595
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.400035619561095,
49.01183053267183
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.40565752965631,
49.01064125233564
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.402932405297179,
49.01073977367939
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.403726339165587,
49.01247793961102
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.404820680443663,
49.01244275466763
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.404724120919127,
49.01104237373055
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.403586864296813,
49.011105708392215
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.409692287095822,
49.012400532702735
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.411816596635617,
49.014638247499114
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.409027099260129,
49.017537275583216
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.398555755265988,
49.01670698867642
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.396946429857053,
49.0123160886655
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.39379215205554,
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]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.411065578111447,
49.00868485956599
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.413211345323361,
49.01026123961204
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.400143623002805,
49.007558843262004
]
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
8.400422572740354,
49.00857225908148
]
}
},
{
"type": "Feature",
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"coordinates": [
8.403812884935178,
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]
}
},
{
"type": "Feature",
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]
}
},
{
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8.407546519883908,
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]
}
},
{
"type": "Feature",
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"coordinates": [
8.407310485490598,
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]
}
},
{
"type": "Feature",
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"coordinates": [
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]
}
},
{
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]
}
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]
}
},
{
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]
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]
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]
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]
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]
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]
}
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{
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]
}
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{
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}
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{
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}
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}
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]
}
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{
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]
}
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