SGCS-package {SGCS}R Documentation

Spatial point process statistics based on a geometric graph.

Description

Three statistical spatial point pattern measures, based on a graph structure over the point pattern data.

Date: 2009-09-08
License: GPL v2 or later
Functions
------------------
confun      -  Connectivity function
cumconfun   -  Cumulative connectivity function
clustfun    -  Clustering function
Tfun        -  Triplet intensity function T

The connectivity function estimates the probability that two points distance r-apart share a graph component. Cumulative connectivity function is like Ripley's K-function but conditioned on the points sharing a graph component. Clustering function is a functional form of the non-spatial graph index, clustering coefficient. Tfun is the intensity of r-triplets.

The package currently supports only geometric graph, but such graphs as k-nearest neighbours graph can be easily included if somebody is interested.

Author(s)

Tuomas Rajala
University of Jyvaskyla, Finland
tuomas.a.rajala@jyu.fi

References

Rajala, Penttinen: Spatial clustering and graph feature statistics (working title). Schladitz, Baddeley: A Third order point process characteristic, SJS, vol 27, 657-671, 2000.


[Package SGCS version 1.3 Index]