我这样做有很多问题所以我再一次来寻求帮助。
我有这个庞大的文件http://d.pr/n/m3q6,其中包含Nielson的所有DMA,我需要用php进行解析,从而解析每个并获取数据和坐标但是必须以这种格式输出
{"type": "FeatureCollection", "features": [
{
"type": "Feature",
"id": "",
"properties": {
"dma": "514",
"name": "Buffalo, NY"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[-79.761951, 42.269861],
[-79.14959, 42.553193],
[-79.048361, 42.691959],
[-78.853455, 42.783961],
[-78.943961, 42.978357],
[-78.881611, 43.02363],
[-78.880756, 43.02955],
[-78.890068, 43.045268],
[-78.946342, 43.072051],
[-79.06977, 43.085841],
[-79.06467, 43.262754],
[-78.520257, 43.372277],
[-77.994839, 43.36526],
[-77.997291, 43.132981],
[-77.905934, 43.133562],
[-77.951044, 43.039544],
[-77.904562, 43.023492],
[-77.95633, 42.667882],
[-78.060469, 42.532888],
[-77.722965, 42.471217],
[-77.749931, 41.998782],
[-77.609815, 41.999367],
[-77.59813, 41.478577],
[-78.050728, 41.475103],
[-78.203422, 41.618157],
[-78.956057, 41.623863],
[-78.918856, 41.998119],
[-79.761374, 41.999068],
[-79.761951, 42.269861]
],
[
[-78.933161, 42.963457],
[-78.934961, 42.965657],
[-78.934461, 42.964257],
[-78.933161, 42.963457]
],
[
[-78.92426, 42.952357],
[-78.92036, 42.954557],
[-78.92886, 42.956457],
[-78.92816, 42.955457],
[-78.92426, 42.952357]
],
[
[-78.902609, 42.911768],
[-78.901122, 42.929442],
[-78.906739, 42.933805],
[-78.906259, 42.929557],
[-78.902609, 42.911768]
],
[
[-79.064667, 43.078556],
[-79.071667, 43.078856],
[-79.073267, 43.080156],
[-79.071267, 43.083356],
[-79.064667, 43.078556]
],
[
[-78.946165, 42.956954],
[-79.015493, 42.990871],
[-78.999465, 43.064756],
[-78.89966, 43.041057],
[-78.943945, 42.995081],
[-78.946165, 42.956954]
],
[
[-78.88566, 43.023557],
[-78.88836, 43.031957],
[-78.88826, 43.034457],
[-78.882868, 43.030771],
[-78.88566, 43.023557]
],
[
[-78.956761, 42.958757],
[-78.961462, 42.959357],
[-78.963462, 42.961057],
[-78.958362, 42.961457],
[-78.956761, 42.958757]
]
]
}
}
]}
任何人都知道如何正确有效地做到这一点我已经坚持了约2天没有成功
有一个工具可以将(标准)KML转换为geoJSON(参见下面的链接)。但它用nodejs编写。
KMZ本质上是一个ZIP存档。只需使用任何zip工具解压缩包含的KML即可。 Windows用户可能需要将文件扩展名更改为.zip
。
使用Python实用程序kml2geojson
:
$ pip install kml2geojson --user
$ k2g input.kml output_directory
为了回应最近的答案 - 迭代每个KML层作为一个很好的解决方法,在Python和R中清理数据时出现了很多,我想可以适用于任何语言。
例如,在R中并使用GDAL,它看起来像:
library(rgdal)
library(sf)
library(plyr)
library(dplyr)
data <- "INPUT KML"
kml_Layers <- ogrListLayers(data)
iterate <- length(kml_Layers)
iterate_layers <- function(i){
layer_i <- st_read(data, kml_Layers[i])
return(layer_i)
}
loops <- 1:iterate
Result_data <- lapply(iterate_layers, loops)
results <- ldply(Result_data)
writeOGR(results, "Data_geojson", layer="Data_geojson", driver="GeoJSON")
我知道这不是PHP,但是一旦我开始以这种方式接近KML,它就开始为我节省了很多时间。