csrplus: Methods to Test Hypotheses on the Distribution of Spatial Point Processes

Includes two functions to evaluate the hypothesis of complete spatial randomness (csr) in point processes. The function 'mwin' calculates quadrat counts to estimate the intensity of a spatial point process through the moving window approach proposed by Bailey and Gatrell (1995). Event counts are computed within a window of a set size over a fine lattice of points within the region of observation. The function 'pielou' uses the nearest neighbor test statistic and asymptotic distribution proposed by Pielou (1959) to compare the observed point process to one generated under csr. The value can be compared to that given by the more widely used test proposed by Clark and Evans (1954).

Author
Sarah Smith <smirks2@hotmail.com>
Date of publication
2015-04-12 22:58:23
Maintainer
Sarah Smith <smirks2@hotmail.com>
License
GPL-2
Version
1.03-0

View on CRAN

Man pages

boundary
Boundary for California Earthquake Data
csrplus-package
Methods to Test Hypotheses on the Distribution of Spatial...
mwin
Moving Window Approach to Quadrat Counts
pielou
Nearest Neighbor Test Statistic: Pielou
quake
California Earthquakes

Files in this package

csrplus
csrplus/NAMESPACE
csrplus/data
csrplus/data/boundary.rda
csrplus/data/quake.rda
csrplus/R
csrplus/R/csrplus.R
csrplus/MD5
csrplus/DESCRIPTION
csrplus/man
csrplus/man/mwin.Rd
csrplus/man/quake.Rd
csrplus/man/csrplus-package.Rd
csrplus/man/pielou.Rd
csrplus/man/boundary.Rd