Alb*_*nto 4 polygons geohashing python-3.x
我一直在寻找一种有效的方法来在Python中将一组geohash转换为多边形,此外有时我会获得多重多边形而不是多边形,可能是因为一些内部geohash丢失了。我目前正在使用python-geohash和shapely,我的方法包括以下步骤:
我通过提取每个 geohash 的角坐标将其转换为多边形。
def to_polygon(geohash):
box = Geohash.bbox(geohash)
return Polygon([(box['e'], box['n']), (box['w'], box['n']), (box['w'], box['s']), (box['e'], box['s'])])
Run Code Online (Sandbox Code Playgroud)然后我map对iterablegeohashes 执行前面解释的转换。
polygons = [to_polygon(geohash) for geohash in geohashes]
Run Code Online (Sandbox Code Playgroud)最后,我使用多边形的方法union将所有这些多边形合并为一个多边形。
polygon = functools.reduce(lambda a, b: a.union(b), polygons)
Run Code Online (Sandbox Code Playgroud)如果一组 geohashes 约为数千,则可能需要几分钟。
我创建了一个库(polygon-geohasher)来实现此目的:
from polygon_geohasher.polygon_geohasher import geohashes_to_polygon
geohashes = ['9bc1db2',
'9bc1db6',
'9bc1db1',
'9bc1db0',
'9bc1db4',
'9bc1db9',
'9bc1db8',
'9bc1dbd',
'9bc1db3']
polygon = geohashes_to_polygon(geohashes)
print(polygon)
# POLYGON ((-99.71878051757812 4.483795166015625, -99.71878051757812 4.482421875, -99.72015380859375 4.482421875, -99.72152709960938 4.482421875, -99.722900390625 4.482421875, -99.722900390625 4.483795166015625, -99.722900390625 4.48516845703125, -99.722900390625 4.486541748046875, -99.72152709960938 4.486541748046875, -99.72015380859375 4.486541748046875, -99.71878051757812 4.486541748046875, -99.71878051757812 4.48516845703125, -99.71878051757812 4.483795166015625))
Run Code Online (Sandbox Code Playgroud)
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