Package

r-spatstat-explore

Description

Exploratory Data Analysis for the 'spatstat' Family. 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.

Note