Question

我正在尝试将shapefile转换为代表shapefile定义的每个点的纬度和经度点列表。使用geopandas读取文件并使用.plot()函数将这些点显示为图形，但我想要原始点。我试图遍历geopandas .geometry中的多边形并存储多边形内的所有点。我绘制了这些点来测试他们是否准确表示了该区域，但他们没有。我用以下代码完成了所有这些：

import re
import geopandas as gpd
import matplotlib.pyplot as plt

def geoToList(geodataframe):
    points = []
    for s in geodataframe.geometry:iq
        s = str(s)
        s = re.sub('[^0-9., ]+', '', s).split(',')
        s = map(lambda x: x.strip(), s)
        s = map(lambda x: (float(x.split()[0]), float(x.split()[1])), s)
        points.extend(list(s))   
    return points

habitat = gpd.read_file('desktop/species_19377/species_19377.shp')
#borough = borough.to_crs(epsg=4326)

points = geoToList(habitat)
x = [point[0] for point in points]
y = [point[1] for point in points]

plt.scatter(x, y)
plt.show() #representation of the points in all polygons
habitat.plot() #representtation of the points I want

我想要一些函数返回一个可以绘制的点列表，看起来与habitat.plot()的输出相同

我的下一个想法是将图形存储为图像，并根据图形的比例分配像素值纬度和经度值，但我确信这比它需要的更复杂。

任何帮助将不胜感激！

Answer 1

要从一组多边形/多边形中提取所有点，您可以执行以下操作：

from shapely.geometry import MultiPolygon

def points_from_polygons(polygons):
    points = []
    for mpoly in polygons:
        if isinstance(mpoly, MultiPolygon):
            polys = list(mpoly)
        else:
            polys = [mpoly]
        for polygon in polys:
            for point in polygon.exterior.coords:
                points.append(point)
            for interior in polygon.interiors:
                for point in interior.coords:
                    points.append(point)
    return points

points = points_from_polygons(habitat.geometry)
x = [point.x for point in points]
y = [point.y for point in points]

如何将shapefile转换为纬度和经度点的完整列表

1 个答案: