带孔的 GeoJson LineString 特征集合
GeoJson LineString Feature Collection with holes
我有一长串代表资产移动的坐标(由 GPS 传感器发送)。
我正在使用 leaflet 渲染 GeoJSON,如果我将 LineString 渲染为单个特征,它工作正常,但如果我将它分解为多个特征(在 FeatureCollection 内 - 应用不同的动态颜色)我开始看到特征之间的“漏洞”。
我很确定这是因为我收到的数据中实际上存在一个“漏洞”。但为什么它作为单个 LineString 功能工作?有办法解决这个问题吗?
这是 GeoJSON(非常大的对象)的摘录
对象的 866 个特征中有 3 个
{
"type":"Feature",
"properties":{
"type":"traffic",
"color":"#ffa600"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.583125,
45.0485616
],
[
7.5830532999999996,
45.0485816
],
[
7.58299,
45.0486133
],
[
7.582893299999999,
45.0486066
],
[
7.5828682999999995,
45.04859
]
]
}
},
link 到 bin
https://jsbin.com/nexijajake/edit?html,output
具有单一特征的示例
其实渲染也没什么问题。您的 data
数组(在您的 jsbin link 中)是一个不相互连接的线串数组。您有这样的模式(假设每一行都是一个线串):
[pointA-pointB-pointC]
[pointD-pointE-pointF]
为了使您的线连续,每个线串的最后一个点应作为第一个点存在于下一个线串中:
[pointA-pointB-pointC]
[pointC-pointD-pointE-pointF]
这样,你的线就会连续。
例如,以下示例(取自您的 jsbin)有一个间隙:
const data = [
{
"type":"Feature",
"properties":{
"type":"traffic",
"color":"#ffa600"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.583125,
45.0485616
],
[
7.5830532999999996,
45.0485816
],
[
7.58299,
45.0486133
],
[
7.582893299999999,
45.0486066
],
[
7.5828682999999995,
45.04859
]
]
}
},
{
"type":"Feature",
"properties":{
"type":"normal",
"color":"#07e36a"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.582795,
45.0485149
],
[
7.582624999999999,
45.0483233
],
[
7.581984899999999,
45.047521599999996
]
]
}
}
];
间隙固定(第二个线串的第一个点是第一个线串的最后一个点):
const data = [
{
"type":"Feature",
"properties":{
"type":"traffic",
"color":"#ffa600"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.583125,
45.0485616
],
[
7.5830532999999996,
45.0485816
],
[
7.58299,
45.0486133
],
[
7.582893299999999,
45.0486066
],
[
7.5828682999999995,
45.04859
]
]
}
},
{
"type":"Feature",
"properties":{
"type":"normal",
"color":"#07e36a"
},
"geometry":{
"type":"LineString",
"coordinates":[
//the first point here is the last of previous linestring
[
7.5828682999999995,
45.04859
],
[
7.582795,
45.0485149
],
[
7.582624999999999,
45.0483233
],
[
7.581984899999999,
45.047521599999996
]
]
}
}
];
我有一长串代表资产移动的坐标(由 GPS 传感器发送)。
我正在使用 leaflet 渲染 GeoJSON,如果我将 LineString 渲染为单个特征,它工作正常,但如果我将它分解为多个特征(在 FeatureCollection 内 - 应用不同的动态颜色)我开始看到特征之间的“漏洞”。
我很确定这是因为我收到的数据中实际上存在一个“漏洞”。但为什么它作为单个 LineString 功能工作?有办法解决这个问题吗?
这是 GeoJSON(非常大的对象)的摘录
对象的 866 个特征中有 3 个
{
"type":"Feature",
"properties":{
"type":"traffic",
"color":"#ffa600"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.583125,
45.0485616
],
[
7.5830532999999996,
45.0485816
],
[
7.58299,
45.0486133
],
[
7.582893299999999,
45.0486066
],
[
7.5828682999999995,
45.04859
]
]
}
},
link 到 bin
https://jsbin.com/nexijajake/edit?html,output
具有单一特征的示例
其实渲染也没什么问题。您的 data
数组(在您的 jsbin link 中)是一个不相互连接的线串数组。您有这样的模式(假设每一行都是一个线串):
[pointA-pointB-pointC]
[pointD-pointE-pointF]
为了使您的线连续,每个线串的最后一个点应作为第一个点存在于下一个线串中:
[pointA-pointB-pointC]
[pointC-pointD-pointE-pointF]
这样,你的线就会连续。
例如,以下示例(取自您的 jsbin)有一个间隙:
const data = [
{
"type":"Feature",
"properties":{
"type":"traffic",
"color":"#ffa600"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.583125,
45.0485616
],
[
7.5830532999999996,
45.0485816
],
[
7.58299,
45.0486133
],
[
7.582893299999999,
45.0486066
],
[
7.5828682999999995,
45.04859
]
]
}
},
{
"type":"Feature",
"properties":{
"type":"normal",
"color":"#07e36a"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.582795,
45.0485149
],
[
7.582624999999999,
45.0483233
],
[
7.581984899999999,
45.047521599999996
]
]
}
}
];
间隙固定(第二个线串的第一个点是第一个线串的最后一个点):
const data = [
{
"type":"Feature",
"properties":{
"type":"traffic",
"color":"#ffa600"
},
"geometry":{
"type":"LineString",
"coordinates":[
[
7.583125,
45.0485616
],
[
7.5830532999999996,
45.0485816
],
[
7.58299,
45.0486133
],
[
7.582893299999999,
45.0486066
],
[
7.5828682999999995,
45.04859
]
]
}
},
{
"type":"Feature",
"properties":{
"type":"normal",
"color":"#07e36a"
},
"geometry":{
"type":"LineString",
"coordinates":[
//the first point here is the last of previous linestring
[
7.5828682999999995,
45.04859
],
[
7.582795,
45.0485149
],
[
7.582624999999999,
45.0483233
],
[
7.581984899999999,
45.047521599999996
]
]
}
}
];