DESCRIPTION
Complete Spatial Randomness (CSR) analysis based on a moving window.
This function uses either the Clark and Evans (1954) or Donnelly (1978)
aggregation index for testing of clustering of point patterns.
NOTES
...
EXAMPLE
An example for the North Carolina sample dataset:
Compute the CSR for the whole landscape of landclass96 using
class 5 (1000 iteration) using the Clark Evans method:
v.random output=randompoints n=100 zmin=0.0 zmax=0.0
v.to.rast input=randompoints output=randompoints use=val val=1
r.pi.csr.mw input=randompoints keyval=1 n=1000 method=clark_evans output=csr1
r.pi.csr.mw input=randompoints keyval=5 n=1000 method=clark_evans size=7 output=csr1
SEE ALSO
r.pi.corearea,
r.pi.corr.mw,
r.pi.export,
r.pi.graph,
r.pi.graph.dec,
r.pi.graph.pr,
r.pi.graph.red,
r.pi.grow,
r.pi.import,
r.pi.index,
r.pi.lm,
r.pi.odc,
r.pi.prob.mw,
r.pi.rectangle,
r.pi
AUTHORS
Programming: Elshad Shirinov
Scientific concept: Dr. Martin Wegmann
Department of Remote Sensing
Remote Sensing and Biodiversity Unit
University of Wuerzburg, Germany
Port to GRASS GIS 7: Markus Metz
Last changed: $Date$