geography/R-spatstat.explore - The NetBSD Packages Collection

Functionality for exploratory data analysis and nonparametric analysis
of spatial data, mainly spatial point patterns, in the 'spatstat'
family of packages. (Excludes analysis of spatial data on a linear
network, which is covered by the separate package 'spatstat.linnet'.)
Methods include quadrat counts, K-functions and their simulation
envelopes, nearest neighbour distance and empty space statistics, Fry
plots, pair correlation function, kernel smoothed intensity, relative
risk estimation with cross-validated bandwidth selection, mark
correlation functions, segregation indices, mark dependence
diagnostics, and kernel estimates of covariate effects. Formal
hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov,
Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte
Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson,
Kolmogorov-Smirnov, ANOVA) are also supported.