spatstat.explore: 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.

Package details

AuthorAdrian Baddeley [aut, cre, cph] (<https://orcid.org/0000-0001-9499-8382>), Rolf Turner [aut, cph] (<https://orcid.org/0000-0001-5521-5218>), Ege Rubak [aut, cph] (<https://orcid.org/0000-0002-6675-533X>), Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gilbey [ctb], Jonatan Gonzalez [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb, cph], Abdollah Jalilian [ctb], Frederic Lavancier [ctb], Marie-Colette van Lieshout [ctb, cph], Greg McSwiggan [ctb], Robin K Milne [cph], Tuomas Rajala [ctb], Suman Rakshit [ctb, cph], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
MaintainerAdrian Baddeley <Adrian.Baddeley@curtin.edu.au>
LicenseGPL (>= 2)
Version3.2-5
URL http://spatstat.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("spatstat.explore")

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spatstat.explore documentation built on Oct. 23, 2023, 1:07 a.m.