pointpats.G¶

class
pointpats.
G
(pp, intervals=10, dmin=0.0, dmax=None, d=None)[source]¶ Estimates the nearest neighbor distance distribution function G for a point pattern.
 Parameters
 pp
PointPattern
Point Pattern instance.
 intervalsint
The length of distance domain sequence.
 dminfloat
The minimum of the distance domain.
 dmaxfloat
The maximum of the distance domain.
 dsequence
The distance domain sequence. If d is specified, intervals, dmin and dmax are ignored.
 pp
Notes
In the analysis of planar point processes, the estimate of \(G\) is typically compared to the value expected from a completely spatial random (CSR) process given as:
\[G(d) = 1  e^{\lambda \pi d^2}\]where \(\lambda\) is the intensity (points per unit area) of the point process and \(d\) is distance.
For a clustered pattern, the empirical function will be above the expectation, while for a uniform pattern the empirical function falls below the expectation.
 Attributes
 namestring
Name of the function. (“G”, “F”, “J”, “K” or “L”)
 darray
The distance domain sequence.
 Garray
The cumulative nearest neighbor distance distribution over d.
Methods
plot
(self[, qq])Plot the distance function