在上一个问题中,有人问过具有地图样式的图像叠加层:
How do I add a simple image overlay in Mapbox Javascript?
我可以使用他们的示例,但是我想使用自己的样式。
这里是my map style的链接。
这是他们使用的有效样式:
mapbox:// styles / mapbox / satellite-v9
这是我的风格,不起作用:
mapbox:// styles / nittyjee / ck0fasve30an21cpalmwct518
下面是有效的代码,您可以自己运行它。我的风格被注释掉了。
<!DOCTYPE html>
<html>
<head>
<meta charset='utf-8' />
<title>Add an image</title>
<meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />
<script src='https://api.tiles.mapbox.com/mapbox-gl-js/v0.45.0/mapbox-gl.js'></script>
<link href='https://api.tiles.mapbox.com/mapbox-gl-js/v0.45.0/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.eyJ1Ijoibml0dHlqZWUiLCJhIjoid1RmLXpycyJ9.NFk875-Fe6hoRCkGciG8yQ';
var map = new mapboxgl.Map({
container: 'map',
maxZoom: 5.99,
minZoom: 4,
zoom: 5,
center: [-75.789, 41.874],
//Style from Stack Overflow:
style: 'mapbox://styles/mapbox/satellite-v9'
//My style does not work:
//style: 'mapbox://styles/nittyjee/ck0fasve30an21cpalmwct518'
});
map.on('load', function() {
map.addSource("myImageSource", {
"type": "image",
"url": "https://docs.mapbox.com/mapbox-gl-js/assets/radar.gif",
"coordinates": [
[-80.425, 46.437],
[-71.516, 46.437],
[-71.516, 37.936],
[-80.425, 37.936]
]
});
map.addLayer({
"id": "overlay",
"source": "myImageSource",
"type": "raster",
"paint": {
"raster-opacity": 0.85
}
});
});
</script>
</body>
</html>
答案 0 :(得分:2)
您需要提高mapbox-gl版本。您使用的是较旧的SDK。
将脚本/ css定义更改为此:
<script src='https://api.tiles.mapbox.com/mapbox-gl-js/v1.3.1/mapbox-gl.js'></script>
<link href='https://api.tiles.mapbox.com/mapbox-gl-js/v1.3.1/mapbox-gl.css' rel='stylesheet' />
答案 1 :(得分:0)
这看起来不像样式URL https://docs.mapbox.com/help/glossary/style-url/
您需要在Mapbox Studio中创建样式并获取样式ID。
答案 2 :(得分:0)
在Studio中查看样式时,可以单击右上角的19/09/23 08:57:38 ERROR util.Utils: Exception encountered
java.io.StreamCorruptedException: invalid type code: 30
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1601)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2287)
at java.io.ObjectInputStream.defaultReadObject(ObjectInputStream.java:561)
at org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$readObject$1.apply$mcV$sp(ParallelCollectionRDD.scala:74)
at org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$readObject$1.apply(ParallelCollectionRDD.scala:70)
at org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$readObject$1.apply(ParallelCollectionRDD.scala:70)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1371)
at org.apache.spark.rdd.ParallelCollectionPartition.readObject(ParallelCollectionRDD.scala:70)
at sun.reflect.GeneratedMethodAccessor35.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1170)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2178)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2069)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2287)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2211)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2069)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:431)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:376)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
19/09/23 08:57:38 ERROR util.Utils: Exception encountered
19/09/23 08:57:38 WARN scheduler.TaskSetManager: Lost task 3.0 in stage 218.0 (TID 10452, CANTSHARE_URL, executor 6): java.io.StreamCorruptedException: invalid type code: 30
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1601)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2287)
at java.io.ObjectInputStream.defaultReadObject(ObjectInputStream.java:561)
at java.lang.Thread.run(Thread.java:748)
19/09/23 08:57:38 INFO scheduler.DAGScheduler: ShuffleMapStage 218 (run at ThreadPoolExecutor.java:1149) failed in 0.120 s due to Job aborted due to stage failure: Task 9 in stage 218.0 failed 4 times, most recent failure: Lost task 9.3 in stage 218.0 (TID 10466, CANTSHARE_URL, executor 6): java.io.StreamCorruptedException: invalid type code: 30
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:376)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
。
然后从那里,您应该看到一个面板,其中包含一个名为Share
的部分。如果您复制该链接并将其粘贴到您的代码中,则样式应该正确。
您还可以单击样式旁边的3个点,然后在出现的面板底部复制样式ID: