Chung Chung - 1 year ago 124
Python Question

shapely and matplotlib point-in-polygon not accurate with geolocation

I am testing the point-in-polygon function with matplotlib and shapely.

Here is a map contains a Bermuda triangle polygon.

Google maps's point-in-polygon functions clearly shows testingPoint and testingPoint2 are inside of the polygon which is a correct result.

if I test the two points in matplotlib and shapely, only point2 passes the test.

In [1]: from matplotlib.path import Path

In [2]: p = Path([[25.774252, -80.190262], [18.466465, -66.118292], [32.321384, -64.75737]])

In [3]: p1=[27.254629577800088, -76.728515625]

In [4]: p2=[27.254629577800088, -74.928515625]

In [5]: p.contains_point(p1)
Out[5]: 0

In [6]: p.contains_point(p2)
Out[6]: 1

shapely shows the same result as matplotlib does.

In [1]: from shapely.geometry import Polygon, Point

In [2]: poly = Polygon(([25.774252, -80.190262], [18.466465, -66.118292], [32.321384, -64.75737]))

In [3]: p1=Point(27.254629577800088, -76.728515625)

In [4]: p2=Point(27.254629577800088, -74.928515625)

In [5]: poly.contains(p1)
Out[5]: False

In [6]: poly.contains(p2)
Out[6]: True

What is actually going on here? Is Google's algorithm better than those two?


Answer Source

Remember: the world isn't flat! If Google Maps' projection is the answer you want, you need to project the geographic coordinates onto spherical Mercator to get a different set of X and Y coordinates. Pyproj can help with this, just make sure you reverse your coordinate axes before (i.e.: X, Y or longitude, latitude).

import pyproj
from shapely.geometry import Polygon, Point
from shapely.ops import transform
from functools import partial

project = partial(
    pyproj.Proj('+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs'))

poly = Polygon(([-80.190262, 25.774252], [-66.118292, 18.466465], [-64.75737, 32.321384]))
p1 = Point(-76.728515625, 27.254629577800088)

# Old answer, using long/lat coordinates
poly.contains(p1)  # False
poly.distance(p1)  # 0.01085626429747994 degrees

# Translate to spherical Mercator or Google projection
poly_g = transform(project, poly)
p1_g = transform(project, p1)

poly_g.contains(p1_g)  # True
poly_g.distance(p1_g)  # 0.0 meters

Seems to get the correct answer.

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