我有这个脚本，它将在Google地图上显示自定义标记，但是我想包含一个输入文本框，并且能够输入城市/州和邮政编码，并查看其中是否有任何标记（例如400）距该城市/州或邮政编码的英里。如果地图可以是动态的，我会喜欢的，因此当您输入城市/州或邮政编码时，它会摆脱所有其他标记并仅保留该半径范围内的一个标记，从而在地图上显示结果，如果那太难了，那么说一个最接近单位的简单更改框也可以:)我搜索并发现有人说我应该加载几何库并用于computeDistanceBetween()查找每个标记到您的中心点的距离，但是我不知道如何执行邮政编码部分或如何将所有这些组合在一起工作。
computeDistanceBetween()
这是我的代码：
<!DOCTYPE html> <html> <head> <meta charset="utf-8"/> <title></title> <script type="text/javascript" src="http://maps.google.com/maps/api/js?sensor=false"></script> <script type="text/javascript" src="http://google-maps-utility-library-v3.googlecode.com/svn/trunk/markerclustererplus/src/markerclusterer.js"></script> <script type="text/javascript"> var image = new google.maps.MarkerImage("marker-images/image.png",new google.maps.Size(40,35),new google.maps.Point(0,0),new google.maps.Point(20,35)); var shadow = new google.maps.MarkerImage( 'marker-images/shadow.png', new google.maps.Size(62,35), new google.maps.Point(0,0), new google.maps.Point(20,35) ); var shape = { coord: [27,0,30,1,32,2,34,3,35,4,36,5,38,6,39,7,39,8,39,9,39,10,38,11,37,12,33,13,34,14,34,15,33,16,32,17,31,18,27,19,28,20,28,21,27,22,26,23,22,25,23,26,24,27,24,28,24,29,24,30,24,31,24,32,23,33,22,34,17,34,16,33,15,32,15,31,14,30,14,29,15,28,15,27,16,26,17,25,13,23,12,22,11,21,11,20,12,19,8,18,7,17,6,16,5,15,5,14,6,13,2,12,1,11,0,10,0,9,0,8,0,7,1,6,3,5,4,4,5,3,7,2,9,1,12,0,27,0], type: 'poly' }; // this variable will collect the html which will eventually be placed in the side_bar var side_bar_html = ""; // arrays to hold copies of the markers and html used by the side_bar // because the function closure trick doesnt work there var gmarkers = []; // global "map" variable var map = null; var circle = null; //marker clusterer var mc; var mcOptions = {gridSize: 10, maxZoom: 8}; //global infowindow var infowindow = new google.maps.InfoWindow(); //geocoder var geocoder = new google.maps.Geocoder(); var address = new Array("41.8119,-87.6873", "40.7888,-74.056", "41.8119,-87.6873", "48.6681,-97.3627", "44.9793,-93.273", "39.4857,-75.6775", "41.8119,-87.6873", "42.0203,-87.9059", "32.7812,-96.7903", "27.5159,-99.4941", "32.7812,-96.7903", "37.5608,-95.6684", "41.8119,-87.6873", "38.3763,-97.6702", "42.2458,-83.2491", "41.8122,-91.9139", "41.8397,-88.0887", "41.8397,-88.0887", "38.5128,-122.787", "41.8397,-88.0887", "42.8863,-87.892", "42.8863,-87.892", "30.7539,-83.3321", "39.889,-84.2422", "34.106,-83.589"); var content = new Array("Unit No# 0206", "Unit No# #2003", "Unit No# 0176", "Unit No# #2001", "Unit No# 0124", "Unit No# 0157", "Unit No# #0162", "Unit No# 0104", "Unit No# 0118", "Unit No# #2007", "Unit No# 0112", "Unit No# 0139", "Unit No# 0205", "Unit No# 0127", "Unit No# 0187", "Unit No# 0105", "Unit No# 0214", "Unit No# 0186", "Unit No# 0173", "Unit No# 0134", "Unit No# 0128", "Unit No# 0125", "Unit No# 0158", "Unit No# 0193", "Unit No# 0201"); //min and max limits for multiplier, for random numbers //keep the range pretty small, so markers are kept close by var min = .999999; var max = 1.000001; function createMarker(latlng,text) { var marker = new google.maps.Marker({ draggable: false, raiseOnDrag: false, icon: image, shadow: shadow, shape: shape, position: latlng, map: map }); ///get array of markers currently in cluster var allMarkers = mc.getMarkers(); //check to see if any of the existing markers match the latlng of the new marker if (allMarkers.length != 0) { for (i=0; i < allMarkers.length; i++) { var existingMarker = allMarkers[i]; var pos = existingMarker.getPosition(); if (latlng.equals(pos)) { text = text + " & " + content[i]; } } } google.maps.event.addListener(marker, 'click', function() { infowindow.close(); infowindow.setContent(text); infowindow.open(map,marker); }); mc.addMarker(marker); return marker; } function initialize(){ var options = { zoom: 4, center: new google.maps.LatLng(39.8282,-98.5795), mapTypeId: google.maps.MapTypeId.ROADMAP }; map = new google.maps.Map(document.getElementById('map'), options); //marker cluster var gmarkers = []; mc = new MarkerClusterer(map, [], mcOptions); for (i=0; i<address.length; i++) { var ptStr = address[i]; var coords = ptStr.split(","); var latlng = new google.maps.LatLng(parseFloat(coords[0]),parseFloat(coords[1])); gmarkers.push(createMarker(latlng,content[i])); } } function codeAddress() { var address = document.getElementById('address').value; var radius = parseInt(document.getElementById('radius').value, 10) * 1609.34; geocoder.geocode( { 'address': address}, function(results, status) { if (status == google.maps.GeocoderStatus.OK) { map.setCenter(results[0].geometry.location); var marker = new google.maps.Marker({ // map: map, <-- uncomment to show red marker position: results[0].geometry.location }); if (circle) circle.setMap(null); circle = new google.maps.Circle({center:marker.getPosition(), radius: radius, fillOpacity: 0.35, fillColor: "#FF0000", map: map}); var bounds = new google.maps.LatLngBounds(); var foundMarkers = 0; for (var i=0; i<gmarkers.length;i++) { if (google.maps.geometry.spherical.computeDistanceBetween(gmarkers[i].getPosition(),marker.getPosition()) < radius) { bounds.extend(gmarkers[i].getPosition()) gmarkers[i].setMap(map); foundMarkers++; } else { gmarkers[i].setMap(null); } } if (foundMarkers > 0) { map.fitBounds(bounds); } else { map.fitBounds(circle.getBounds()); } } else { alert(status); } }); } var infowindow = new google.maps.InfoWindow( { size: new google.maps.Size(150,50) }); function handleKeyPress(e){ var key=e.keyCode || e.which; if (key==13){ codeAddress(); } } function handleResetKeyPress(e){ if (map.getZoom() != 4) map.setZoom(4); map.setCenter(new google.maps.LatLng(39.8282, -98.5795)); document.getElementById("address").value = 'Enter City,State or Zipcode'; document.getElementById("radius").value = '200'; } </script> <style> html, body, #map { height: 100%; width: 100%; margin: 0; padding: 0; } .auto-style1 { text-align: center; } #footer { position : absolute; bottom : 0; height : 40px; margin-top : 40px; /* border: 1px solid blue; */ } </style> </head> <body onload='initialize()'> <div id="map"></div> <div id="footer" class="auto-style1" style="left: 0px; bottom: 0; width: 100%"> <input type="text" id="address" value="Enter City,State or Zipcode" onclick="if(this.value=='Enter City,State or Zipcode'){this.value=''}" onblur="if(this.value==''){this.value='Enter City,State or Zipcode'}" onkeypress="handleKeyPress(event);" style="width: 183px"> <input type="button" value="Search" onclick="codeAddress();"> <input type="button" value="Reset" onclick="handleResetKeyPress();"> <input type="text" id="radius" value="200" style="width: 42px" onclick="if(this.value=='200'){this.value=''}" onblur="if(this.value==''){this.value='200'}" onkeypress="handleKeyPress(event);"> miles </div> </body> </html>
这是一个示例，说明如何使用地址解析API和一些简单的几何图形来解决此问题。
（请注意，为简洁起见，我已经硬编码了地址和半径。）
// we assume that you have an array of markers var markers = []; //In order to lookup the the position of a zip-code you can use the geocoding API: // https://developers.google.com/maps/documentation/geocoding/ var geocode_api_base_url = "http://maps.googleapis.com/maps/api/geocode/json?"; var params = { adress : 05673, components : "country:us", sensor : false } // This is the result set of markers in area var in_area = []; // http://maps.googleapis.com/maps/api/geocode/json?address=05673&components=country:US&sensor=false $.getJSON( geocode_api_base_url + $.param(params), function(data) { var location, search_area, in_area = []; location = data['results'][0]['address_components']['geometry']['location']; // We create a circle to look within: search_area = { strokeColor: '#FF0000', strokeOpacity: 0.8, strokeWeight: 2, center : new google.maps.LatLng(location.lat, location.lon), radius : 500 } search_area = new google.maps.Circle(search_area); $.each(markers, function(i,marker) { if (google.maps.geometry.poly.containsLocation(marker.getPosition(), search_area)) { in_area.push(marker); } }); console.info(in_area); });
