考虑到美国的地理坐标,如何确定它是在城市还是农村地区?
我在美国大约有10000个地理坐标,我想用Python +底图来确定一个点是城市还是乡村。
我不确定要使用哪个库或形状文件。
我需要这样的功能:
def is_urban(coordinate):
# use the shapefile
urban = False
return urban
答案 0 :(得分:0)
import shapefile
from shapely.geometry import Point # Point class
from shapely.geometry import shape # shape() is a function to convert geo objects through the interface
pt = (-97.759615,30.258773) # an x,y tuple
shp = shapefile.Reader('/home/af/Downloads/cb_2016_us_ua10_500k/cb_2016_us_ua10_500k.shp') #open the shapefile
all_shapes = shp.shapes() # get all the polygons
all_records = shp.records()
def is_urban(pt):
result = False
for i in range(len(all_shapes)):
boundary = all_shapes[i] # get a boundary polygon
#name = all_records[i][3] + ', ' + all_records[i][4] # get the second field of the corresponding record
if Point(pt).within(shape(boundary)): # make a point and see if it's in the polygon
result = True
return result
result = is_urban(pt)
我最终使用了从中下载的shapely和shapefile https://www.census.gov/geo/maps-data/data/cbf/cbf_ua.html,其中有美国的城市地区,所以如果一个点不属于这些地区,那就是农村。
我测试了它,它符合我的期望。