本文介绍了拆分多重多边形的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我能不能只是把零件拿出来作为它们自己的特征,或者这是否会涉及到更复杂的东西?
我正在尝试将其中一个地图拆分成更小的部分,以便为它们编制索引:https://github.com/simonepri/geo-maps
在顶层,它们是GeometryCollection,但在较低级别,它们是多重多边形。
我想只循环遍历多重多边形的各个部分,但我对它们的了解不够,无法知道这是否有效
我已尝试geojsplit
,但它似乎不适用于GeometryCollection
推荐答案
从GeoJSON文件中的GeometryCollection中提取子几何图形很简单,但MultiPolygon有点棘手。
RFC7946中定义的多重多边形几何图形是多边形坐标数组的数组,因此必须迭代该数组以获得每个多边形。请注意,每个多边形可以有多个部分,第一部分是外环,其他部分是内环或孔。{
"type": "MultiPolygon",
"coordinates": [
[
[
[180.0, 40.0], [180.0, 50.0], [170.0, 50.0],
[170.0, 40.0], [180.0, 40.0]
]
],
[
[
[-170.0, 40.0], [-170.0, 50.0], [-180.0, 50.0],
[-180.0, 40.0], [-170.0, 40.0]
]
]
]
}
下面将把多重多边形中的每个子多边形提取到单独的要素中,并同样将GeometryCollection中的每个子几何图形提取到单独的要素中。父特征的属性将被继承并放置在提取的特征上。如果要素来自MultiPolygon或GeometryCollection,则会将父项属性添加到标志。
import json
import sys
# Split apart geojson geometries into simple geometries
features = []
def add_feature(props, geom):
feature = {
"type": "Feature",
"geometry": geom
}
if props:
feature["properties"] = props
features.append(feature)
def process_polygon(props, coords, parent):
print(">> export polygon")
if parent:
if props is None:
props = dict()
else:
props = props.copy()
# mark feature where it came from if extracted from MultiPolygon or GeometryCollection
props["parent"] = parent
add_feature(props, {
"type": "Polygon",
"coordinates": coords
})
def check_geometry(f, geom_type, geom, props, parent=None):
if geom_type == "Polygon":
coords = geom["coordinates"]
print(f"Polygon > parts={len(coords)}")
process_polygon(props, coords, parent)
elif geom_type == "MultiPolygon":
coords = geom["coordinates"]
print(f"MultiPolygon > polygons={len(coords)}")
for poly in coords:
process_polygon(props, poly, "MultiPolygon")
elif geom_type == 'GeometryCollection':
print("GeometryCollection")
"""
"type": "GeometryCollection",
"geometries": [{
"type": "Point",
"coordinates": [101.0, 1.0]
}, {
"type": "Polygon",
"coordinates": [
[[ 100, 0 ], [ 100, 2 ], [ 103, 2 ], [ 103, 0 ], [ 100, 0 ]]
]
}]
"""
for g in geom["geometries"]:
check_geometry(f, g.get("type"), g, props, 'GeometryCollection')
else:
# other geometry type as-is: e.g. point, line, etc.
print(">> add other type:", geom_type)
if parent:
if props is None:
props = dict()
else:
props = props.copy()
props["parent"] = parent
add_feature(props, geom)
def check_feature(f):
geom = f.get("geometry")
if geom is None:
print("--
Feature: type=unknown")
return
geom_type = geom.get("type")
props = f.get("properties")
check_geometry(f, geom_type, geom, props)
def output_geojson():
if len(features) == 0:
print("no features to extract")
return
print("
Number of extracted features:", len(features))
print("Output: out.geojson")
geo = {
"type": "FeatureCollection",
}
for key in ["name", "crs", "properties"]:
if key in data:
geo[key] = data[key]
geo["features"] = features
with open("out.geojson", "w") as fp:
json.dump(geo, fp, indent=2)
##############################################################################
# main #
##############################################################################
if len(sys.argv) >= 2:
input_file = sys.argv[1]
else:
print("usage: geojson-split.py <file>")
sys.exit(0)
print("Input:", input_file)
with open(input_file, encoding="utf-8") as file:
data = json.load(file)
data_type = data.get("type")
if data_type == "FeatureCollection":
for f in data['features']:
obj_type = f.get("type")
if obj_type == "Feature":
check_feature(f)
else:
print("WARN: non-feature:", obj_type)
elif data_type == "Feature":
check_feature(data)
elif data_type in ['GeometryCollection', 'Point', 'LineString', 'Polygon',
'MultiPoint', 'MultiLineString', 'MultiPolygon']:
print("geometry type", data_type)
check_geometry(data, data_type, data, None)
else:
print("WARN: unknown/other type:", data_type)
output_geojson()
如果要为每个几何图形创建单独的GeoJSON文件,则add_feature()
函数可以创建新文件,而不是将要素追加到列表。
如果您在从geomaps下载的Earth-Sea-10km.Geo.json上运行该脚本,则输出如下:
输出:
Input: earth-seas-10km.geo.json
geometry type GeometryCollection
GeometryCollection
MultiPolygon > polygons=21
>> export polygon
>> export polygon
...
>> export polygon
Number of extracted features: 21
Output: out.geojson
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