Adding many circles to a google map
I'm attempting to draw many circles (around 1000) on a google map, at various locations and sizes, and then binding a click event to them. But this many calls of new google.maps.Circle(parameters);
makes the page loading slow, and sometimes it just hangs forever, so I'd like to figure out if there's a better/faster way to accomplish what I'm trying to do.
I see that there's something called a kml layer, but there doesn't appear to be any easy way to draw filled circles with it and I'm not sure if I can still bind click events to each individual circle in the layer or not.
Looking at the circle workaround on the google KML faq page, I'm not sure if generating a KML file that contains thousands of circles similar to this would end up saving any time.
I also have no idea how to go about generating this kml file.
Finally, take into consideration that I'm pulling the circles I'm attempting to draw from a database, so I'd either have to generate the KML file o开发者_Go百科n the fly for use or generate a new file every time a circle is removed or added from the DB so that the file stays up to date.
Of course, if there's another alternative, I'm all ears!
With the help of others via the Google Maps API v3 Group, I was able to implement a map overlay that handles 10,000 points suprisingly well. The trick is to use a canvas tile overlay, which minimizes the number of DOM elements in exchange for much simpler/lighter-weight POJsOs (plain old JavaScript objects).
Demo page w/mouse click events (API v2 only): http://notebook.kulchenko.com/maps/datamark
Demo page w/cursor swapping (API v2 and v3): http://notebook.kulchenko.com/maps/gridmark
Here is yet another example that demonstrates how to render multiple objects on Google Map using Overlay approach. Since the performance could degrade considerably while the amount of objects (e.g. google.maps.Circle
) is increasing, it is proposed to render objects using canvas
element instead of div
one.
Example
The example demonstrates how to render 1k objects (cities)
var overlay;
USCitiesOverlay.prototype = new google.maps.OverlayView();
function USCitiesOverlay(map) {
this._map = map;
this._cities = [];
this._radius = 6;
this._container = document.createElement("div");
this._container.id = "citieslayer";
this.setMap(map);
this.addCity = function (lat, lng,population) {
this._cities.push({position: new google.maps.LatLng(lat,lng),population: population});
};
}
USCitiesOverlay.prototype.createCityIcon = function (id,pos,population) {
var cityIcon = document.createElement('canvas');
cityIcon.id = 'cityicon_' + id;
//calculate radius based on poulation
this._radius = population / 100000;
cityIcon.width = cityIcon.height = this._radius * 2;
cityIcon.style.width = cityIcon.width + 'px';
cityIcon.style.height = cityIcon.height + 'px';
cityIcon.style.left = (pos.x - this._radius) + 'px';
cityIcon.style.top = (pos.y - this._radius) + 'px';
cityIcon.style.position = "absolute";
var centerX = cityIcon.width / 2;
var centerY = cityIcon.height / 2;
var ctx = cityIcon.getContext('2d');
ctx.fillStyle = 'rgba(160,16,0,0.6)';
ctx.beginPath();
ctx.arc(centerX, centerY, this._radius, 0, Math.PI * 2, true);
ctx.fill();
return cityIcon;
};
USCitiesOverlay.prototype.ensureCityIcon = function (id,pos,population) {
var cityIcon = document.getElementById("cityicon_" + id);
if(cityIcon){
cityIcon.style.left = (pos.x - this._radius) + 'px';
cityIcon.style.top = (pos.y - this._radius) + 'px';
return cityIcon;
}
return this.createCityIcon(id,pos,population);
};
USCitiesOverlay.prototype.onAdd = function () {
var panes = this.getPanes();
panes.overlayLayer.appendChild(this._container);
};
USCitiesOverlay.prototype.draw = function () {
var zoom = this._map.getZoom();
var overlayProjection = this.getProjection();
var container = this._container;
this._cities.forEach(function(city,idx){
var xy = overlayProjection.fromLatLngToDivPixel(city.position);
var cityIcon = overlay.ensureCityIcon(idx,xy,city.population);
container.appendChild(cityIcon);
});
};
USCitiesOverlay.prototype.onRemove = function () {
this._container.parentNode.removeChild(this._container);
this._container = null;
};
function getRandomInterval(min, max) {
return Math.random() * (max - min) + min;
}
function generateCityMap(count) {
var citymap = [];
var minPos = new google.maps.LatLng(49.25, -123.1);
var maxPos = new google.maps.LatLng(34.052234, -74.005973);
for(var i = 0; i < count;i++)
{
var lat = getRandomInterval(minPos.lat(),maxPos.lat());
var lng = getRandomInterval(minPos.lng(),maxPos.lng());
var population = getRandomInterval(100000,1000000);
citymap.push({
location: new google.maps.LatLng(lat, lng),
population: population
});
}
return citymap;
}
function initialize() {
var mapOptions = {
zoom: 4,
center: new google.maps.LatLng(37.09024, -95.712891),
mapTypeId: google.maps.MapTypeId.TERRAIN
};
var map = new google.maps.Map(document.getElementById('map-canvas'), mapOptions);
overlay = new USCitiesOverlay(map);
//overlay.addCity(40.714352, -74.005973); //chicago
//overlay.addCity(40.714352, -74.005973); //newyork
//overlay.addCity(34.052234, -118.243684); //losangeles
//overlay.addCity(49.25, -123.1); //vancouver
var citymap = generateCityMap(1000);
citymap.forEach(function(city){
overlay.addCity(city.location.lat(), city.location.lng(),city.population);
});
}
google.maps.event.addDomListener(window, 'load', initialize);
html, body, #map-canvas {
height: 100%;
margin: 0px;
padding: 0px;
}
<script src="https://maps.googleapis.com/maps/api/js?v=3.exp&signed_in=true"></script>
<div id="map-canvas"></div>
Forget about KML, custom tiles are the way to go.
Have a look at these county maps: http://maps.forum.nu/v3/gm_customTiles.html (check the "Density" box). and http://maps.forum.nu/gm_main.html?lat=31.428663&lon=-110.830078&z=4&mType=10 (click on the map to get county info)
These maps have 3000+ polygons, (not circles), and they load fast. The first link is API V3, the second is API V2. The second map (V2) has click events. The click event handler is attached to the map itself, and it sends an AJAX call to the server with the lat/lon of the click. The server side script then looks this lat/lon up in the database to determine which county was clicked.
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