Package: spatstat.explore 3.3-2.001
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.
Authors:
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spatstat.explore/json (API)
NEWS
# Install 'spatstat.explore' in R: |
install.packages('spatstat.explore', repos = c('https://spatstat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/spatstat/spatstat.explore/issues
cluster-detectionconfidence-intervalshypothesis-testingk-functionroc-curvesscan-statisticssignificance-testingsimulation-envelopesspatial-analysisspatial-data-analysisspatial-sharpeningspatial-smoothingspatial-statistics
Last updated 2 days agofrom:32dc551004. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 06 2024 |
R-4.5-win-x86_64 | OK | Sep 06 2024 |
R-4.5-linux-x86_64 | OK | Sep 06 2024 |
R-4.4-win-x86_64 | OK | Sep 06 2024 |
R-4.4-mac-x86_64 | OK | Sep 06 2024 |
R-4.4-mac-aarch64 | OK | Sep 06 2024 |
R-4.3-win-x86_64 | OK | Sep 06 2024 |
R-4.3-mac-x86_64 | OK | Sep 06 2024 |
R-4.3-mac-aarch64 | OK | Sep 06 2024 |
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Dependencies:abinddeldirgoftestlatticeMatrixnlmepolyclipspatstat.dataspatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor