pointpats.std_distance

pointpats.std_distance(points) → float64

pointpats.std_distance(points: ndarray) → float64

pointpats.std_distance(points: GeoPandasBase) → float64

Calculate standard distance of a point array.

Parameters:

pointsarraylike

array representing a point pattern

Returns:

distance

standard distance of a given point pattern

Examples

>>> import numpy as np
>>> import geopandas as gpd

Create an array of point coordinates.

>>> coords = np.array(
...     [
...         [66.22, 32.54],
...         [22.52, 22.39],
...         [31.01, 81.21],
...         [9.47, 31.02],
...         [30.78, 60.10],
...         [75.21, 58.93],
...         [79.26, 7.68],
...         [8.23, 39.93],
...         [98.73, 77.17],
...         [89.78, 42.53],
...         [65.19, 92.08],
...     ]
... )

Passing an array of coordinates returns a tuple capturing the bounds.

>>> std_distance(coords)
np.float64(40.21575987282547)

The same applies to a GeoPandas object.

>>> geoms = gpd.GeoSeries.from_xy(*coords.T)
>>> std_distance(geoms)
np.float64(40.21575987282547)