鉴于美国的地理坐标,如何查明是否在城市或农村地区?

时间:2018-02-21 03:13:28

标签: geospatial shapefile shapely pyshp

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

1 个答案:

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。