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Distance between a point and a MultiPolygon Geoseries object in python

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0

I want to calculate the distance of a point from the Multiploygon geoseries object created using cascaded_union function of GeoPandas. Following is my code:

import numpy as np

import pandas as pd

import geopandas as gpd

from shapely.ops import cascaded_union

from matplotlib import pyplot as plt

from shapely.geometry import LineString, Point, MultiPoint



fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"

data = gpd.read_file(fp)



mycountries = ['Canada','Russia']



req_data = data[data.NAME.isin(mycountries)]

req_data = req_data.reset_index()

req_data = req_data.drop('index',axis=1)



polygons = [req_data['geometry'][0],req_data['geometry'][1]]

boundary = gpd.GeoSeries(cascaded_union(polygons))

boundary.plot(color = 'black')

plt.show()

I require that when I calculate the distance of two points (as shown in map - red dots) from the multipolygon, it should consider Canada for the one in left side and Russia for the right one. Also, the distance in miles/kms. Any help around this will be really appreciated.

I tried using distance function but the result which I am getting is not correct. Moreover, if I consider point somewhere in Indian Ocean, it gives result as 0 which is again not what I require.

Please help me on this.
Thanks in advance!

python polygon distance shapely geopandas

share

asked 5 mins ago

ansmalansmal

1

New contributor

ansmal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

add a comment | 

0

I want to calculate the distance of a point from the Multiploygon geoseries object created using cascaded_union function of GeoPandas. Following is my code:

import numpy as np

import pandas as pd

import geopandas as gpd

from shapely.ops import cascaded_union

from matplotlib import pyplot as plt

from shapely.geometry import LineString, Point, MultiPoint



fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"

data = gpd.read_file(fp)



mycountries = ['Canada','Russia']



req_data = data[data.NAME.isin(mycountries)]

req_data = req_data.reset_index()

req_data = req_data.drop('index',axis=1)



polygons = [req_data['geometry'][0],req_data['geometry'][1]]

boundary = gpd.GeoSeries(cascaded_union(polygons))

boundary.plot(color = 'black')

plt.show()

I require that when I calculate the distance of two points (as shown in map - red dots) from the multipolygon, it should consider Canada for the one in left side and Russia for the right one. Also, the distance in miles/kms. Any help around this will be really appreciated.

I tried using distance function but the result which I am getting is not correct. Moreover, if I consider point somewhere in Indian Ocean, it gives result as 0 which is again not what I require.

Please help me on this.
Thanks in advance!

python polygon distance shapely geopandas

share

asked 5 mins ago

ansmalansmal

1

New contributor

ansmal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

add a comment | 

I want to calculate the distance of a point from the Multiploygon geoseries object created using cascaded_union function of GeoPandas. Following is my code:

import numpy as np

import pandas as pd

import geopandas as gpd

from shapely.ops import cascaded_union

from matplotlib import pyplot as plt

from shapely.geometry import LineString, Point, MultiPoint



fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"

data = gpd.read_file(fp)



mycountries = ['Canada','Russia']



req_data = data[data.NAME.isin(mycountries)]

req_data = req_data.reset_index()

req_data = req_data.drop('index',axis=1)



polygons = [req_data['geometry'][0],req_data['geometry'][1]]

boundary = gpd.GeoSeries(cascaded_union(polygons))

boundary.plot(color = 'black')

plt.show()

I require that when I calculate the distance of two points (as shown in map - red dots) from the multipolygon, it should consider Canada for the one in left side and Russia for the right one. Also, the distance in miles/kms. Any help around this will be really appreciated.

I tried using distance function but the result which I am getting is not correct. Moreover, if I consider point somewhere in Indian Ocean, it gives result as 0 which is again not what I require.

Please help me on this.
Thanks in advance!

python polygon distance shapely geopandas

share

asked 5 mins ago

ansmalansmal

1

New contributor

ansmal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

import numpy as np

import pandas as pd

import geopandas as gpd

from shapely.ops import cascaded_union

from matplotlib import pyplot as plt

from shapely.geometry import LineString, Point, MultiPoint



fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"

data = gpd.read_file(fp)



mycountries = ['Canada','Russia']



req_data = data[data.NAME.isin(mycountries)]

req_data = req_data.reset_index()

req_data = req_data.drop('index',axis=1)



polygons = [req_data['geometry'][0],req_data['geometry'][1]]

boundary = gpd.GeoSeries(cascaded_union(polygons))

boundary.plot(color = 'black')

plt.show()

share

asked 5 mins ago

ansmalansmal

1

New contributor

ansmal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share

asked 5 mins ago

ansmalansmal

1

New contributor

ansmal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 5 mins ago

ansmalansmal

1

New contributor

ansmal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 5 mins ago

ansmalansmal

1