GeoServer+mapbox发布矢量瓦片(二）：改进渲染风格_geoserver矢量瓦片竖线

作者：我家小花儿 | 2024-06-12 17:18:46
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geoserver矢量瓦片竖线
说明

参考Mapbox例子中显示美国每个州的分布图，读取GeoServer发布的切片，html代码如下：
       

<!--https://docs.mapbox.com/mapbox-gl-js/example/data-join/-->

<!DOCTYPE html>
<html>

<head>
   <meta charset='utf-8' />
   <title>Join local JSON data with vector tile geometries</title>
   <meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />
   <script src='https://api.tiles.mapbox.com/mapbox-gl-js/v1.0.0/mapbox-gl.js'></script>
   <link href='https://api.tiles.mapbox.com/mapbox-gl-js/v1.0.0/mapbox-gl.css' rel='stylesheet' />
   <style>
       body {
           margin: 0;
           padding: 0;
       }
       
       #map {
           position: absolute;
           top: 0;
           bottom: 0;
           width: 100%;
       }
   </style>
</head>

<body>


   <div id='map'>
   </div>
   <script>
       mapboxgl.accessToken = 'pk.eyJ1IjoibG9uZ2xvbmd3YXl0b2dvIiwiYSI6ImNqdnZ6OWV6cTFnY240NG9nbmxnc2k5dTkifQ.hsbNl4QUNyn46nfbztiFpw';
       var map = new mapboxgl.Map({
           container: 'map',
           style: 'mapbox://styles/mapbox/light-v10',
           center: [-99.9, 41.5],
           zoom: 1
       });

       // Join local JSON data with vector tile geometry
       // USA unemployment rate in 2009
       // Source https://data.bls.gov/timeseries/LNS14000000
       var maxValue = 13;
       var data = [{
           "STATE_FIPS": "01",
           "unemployment": 13.17
       }, {
           "STATE_FIPS": "02",
           "unemployment": 9.5
       }, {
           "STATE_FIPS": "04",
           "unemployment": 12.15
       }, {
           "STATE_FIPS": "05",
           "unemployment": 8.99
       }, {
           "STATE_FIPS": "06",
           "unemployment": 11.83
       }, {
           "STATE_FIPS": "08",
           "unemployment": 7.52
       }, {
           "STATE_FIPS": "09",
           "unemployment": 6.44
       }, {
           "STATE_FIPS": "10",
           "unemployment": 5.17
       }, {
           "STATE_FIPS": "12",
           "unemployment": 9.67
       }, {
           "STATE_FIPS": "13",
           "unemployment": 10.64
       }, {
           "STATE_FIPS": "15",
           "unemployment": 12.38
       }, {
           "STATE_FIPS": "16",
           "unemployment": 10.13
       }, {
           "STATE_FIPS": "17",
           "unemployment": 9.58
       }, {
           "STATE_FIPS": "18",
           "unemployment": 10.63
       }, {
           "STATE_FIPS": "19",
           "unemployment": 8.09
       }, {
           "STATE_FIPS": "20",
           "unemployment": 5.93
       }, {
           "STATE_FIPS": "21",
           "unemployment": 9.86
       }, {
           "STATE_FIPS": "22",
           "unemployment": 9.81
       }, {
           "STATE_FIPS": "23",
           "unemployment": 7.82
       }, {
           "STATE_FIPS": "24",
           "unemployment": 8.35
       }, {
           "STATE_FIPS": "25",
           "unemployment": 9.1
       }, {
           "STATE_FIPS": "26",
           "unemployment": 10.69
       }, {
           "STATE_FIPS": "27",
           "unemployment": 11.53
       }, {
           "STATE_FIPS": "28",
           "unemployment": 9.29
       }, {
           "STATE_FIPS": "29",
           "unemployment": 9.94
       }, {
           "STATE_FIPS": "30",
           "unemployment": 9.29
       }, {
           "STATE_FIPS": "31",
           "unemployment": 5.45
       }, {
           "STATE_FIPS": "32",
           "unemployment": 4.21
       }, {
           "STATE_FIPS": "33",
           "unemployment": 4.27
       }, {
           "STATE_FIPS": "34",
           "unemployment": 4.09
       }, {
           "STATE_FIPS": "35",
           "unemployment": 7.83
       }, {
           "STATE_FIPS": "36",
           "unemployment": 8.01
       }, {
           "STATE_FIPS": "37",
           "unemployment": 9.34
       }, {
           "STATE_FIPS": "38",
           "unemployment": 11.23
       }, {
           "STATE_FIPS": "39",
           "unemployment": 7.08
       }, {
           "STATE_FIPS": "40",
           "unemployment": 11.22
       }, {
           "STATE_FIPS": "41",
           "unemployment": 6.2
       }, {
           "STATE_FIPS": "42",
           "unemployment": 9.11
       }, {
           "STATE_FIPS": "44",
           "unemployment": 10.42
       }, {
           "STATE_FIPS": "45",
           "unemployment": 8.89
       }, {
           "STATE_FIPS": "46",
           "unemployment": 11.03
       }, {
           "STATE_FIPS": "47",
           "unemployment": 7.35
       }, {
           "STATE_FIPS": "48",
           "unemployment": 8.92
       }, {
           "STATE_FIPS": "49",
           "unemployment": 7.65
       }, {
           "STATE_FIPS": "50",
           "unemployment": 8.01
       }, {
           "STATE_FIPS": "51",
           "unemployment": 7.62
       }, {
           "STATE_FIPS": "53",
           "unemployment": 7.77
       }, {
           "STATE_FIPS": "54",
           "unemployment": 8.49
       }, {
           "STATE_FIPS": "55",
           "unemployment": 9.42
       }, {
           "STATE_FIPS": "56",
           "unemployment": 7.59
       }];

       map.on('load', function() {

           // Add source for state polygons hosted on Mapbox, based on US Census Data:
           // https://www.census.gov/geo/maps-data/data/cbf/cbf_state.html
           map.addSource("states", {
               type: "vector",
               //url: "mapbox://mapbox.us_census_states_2015"
               'scheme': 'tms',
               'tiles': ['http://192.168.1.230:8080/geoserver/gwc/service/tms/1.0.0/mapbox%3Astates@EPSG%3A900913@pbf/{z}/{x}/{y}.pbf']

           });

           var expression = ["match", ["get", "STATE_FIPS"]];

           // Calculate color for each state based on the unemployment rate
           data.forEach(function(row) {
               var green = (row["unemployment"] / maxValue) * 255;
               var color = "rgba(" + 0 + ", " + green + ", " + 0 + ", 1)";
               expression.push(row["STATE_FIPS"], color);
           });

           // Last value is the default, used where there is no data
           expression.push("rgba(0,0,0,0)");

           // Add layer from the vector tile source with data-driven style
           map.addLayer({
               "id": "states-join",
               "type": "fill",
               "source": "states",
               "source-layer": "states",
               "paint": {
                   "fill-color": expression,
                   "fill-outline-color": "#00FFFF"
               }
           }, 'waterway-label');
       });
   </script>

</body>

</html>
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