clustfun: Clustering function

In SGCS: Spatial Graph Based Clustering Summaries for Spatial Point Patterns

Description

Summarise the amount of local connectivity in a stationary and isotropic point pattern (2/3d).

Usage

clustfun(x, r, correction = "border", scaled = FALSE, ...)

Arguments

x	Point pattern
r	Vector of distances
correction	Border correction. "none" or "border" (reduced window) supported.
scaled	Scale with theoretical value? Should be done afterwards.
...	ignored.

Details

This is a generalisation of the clustering coefficient by Watts and Strogatz 1998.

Reduced border correction available.

Value

fv-object, see spatstat for more.

Examples

## Not run: 
en <- envelope(rcell(nx=15), fun=clustfun)
plot(en)

## End(Not run)

SGCS documentation built on May 1, 2019, 8:20 p.m.