CODEWITHSUNDEEP
cartopy
Milos
Milos

Reputation: 548

Why is checking if a geopoint is on land failing in cartopy?

Following this answer, I tried to check if the coordinate pair (longitude, latitude) = (-3.4066095486248327, 51.38747051763357) represents a location on land. Here is my code:

import fiona
import cartopy.io.shapereader as shpreader
import shapely.geometry as sgeom
from shapely.prepared import prep
geoms = fiona.open(shpreader.natural_earth(resolution='10m', category='physical', name='land'))
land_geom = sgeom.MultiPolygon([sgeom.shape(geom['geometry']) for geom in geoms])
land = prep(land_geom)

x = -3.4066095486248327
y = 51.38747051763357

print(land.contains(sgeom.Point(x, y)))

The result is False even though the point is on land, which I checked using Google Maps. I also checked if x and y should switch places in sgeom.Point(x, y), but that didn't work out as the result was still False.

Can somebody help?

Upvotes: 0

Views: 298

Answers (1)

ajdawson
ajdawson

Reputation: 3333

That point is very close to the coast. You have used the 1:10 million scale coastline as the "truth" about where the coastline is, but at this scale that point is indeed not on land, it is just off the coast:

import matplotlib.pyplot as plt
import cartopy.crs as ccrs


x = -3.4066095486248327
y = 51.38747051763357

ax = plt.axes(projection=ccrs.PlateCarree())
ax.coastlines(resolution="10m")
ax.scatter([x], [y], transform=ccrs.PlateCarree())
# Land is top half, sea is bottom half of the domain
ax.set_extent([x-.1, x+.1, y-.1, y+.1], crs=ccrs.PlateCarree())
plt.show()

point plotted with coastline

If you want to get this right on such scales then you will need to use a more accurate representation of the coastline.

Upvotes: 1

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