Package: apcf 0.3.1
apcf: Adapted Pair Correlation Function
The adapted pair correlation function transfers the concept of the pair correlation function from point patterns to patterns of objects of finite size and irregular shape (e.g. lakes within a country). The pair correlation function describes the spatial distribution of objects, e.g. random, aggregated or regularly spaced. This is a reimplementation of the method suggested by Nuske et al. (2009) <doi:10.1016/j.foreco.2009.09.050> using the library 'GEOS'.
Authors:
apcf_0.3.1.tar.gz
apcf_0.3.1.zip(r-4.5)apcf_0.3.1.zip(r-4.4)apcf_0.3.1.zip(r-4.3)
apcf_0.3.1.tgz(r-4.4-x86_64)apcf_0.3.1.tgz(r-4.4-arm64)apcf_0.3.1.tgz(r-4.3-x86_64)apcf_0.3.1.tgz(r-4.3-arm64)
apcf_0.3.1.tar.gz(r-4.5-noble)apcf_0.3.1.tar.gz(r-4.4-noble)
apcf.pdf |apcf.html✨
apcf/json (API)
NEWS
# Install 'apcf' in R: |
install.packages('apcf', repos = c('https://nw-fva.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rnuske/apcf/issues
- sim_area - Simulated Patterns
- sim_pat_clust - Simulated Patterns
- sim_pat_rand - Simulated Patterns
- sim_pat_reg - Simulated Patterns
geogeospoint-pattern-analysisspatial-statistics
Last updated 3 months agofrom:b5430bbbca (on v0.3.1). Checks:OK: 8 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 12 2024 |
R-4.5-win-x86_64 | OK | Aug 12 2024 |
R-4.5-linux-x86_64 | NOTE | Aug 12 2024 |
R-4.4-win-x86_64 | OK | Aug 12 2024 |
R-4.4-mac-x86_64 | OK | Aug 12 2024 |
R-4.4-mac-aarch64 | OK | Aug 12 2024 |
R-4.3-win-x86_64 | OK | Aug 12 2024 |
R-4.3-mac-x86_64 | OK | Aug 12 2024 |
R-4.3-mac-aarch64 | OK | Aug 12 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Adapted Pair Correlation Function | apcf-package apcf |
Class dists: Collection of Distances and Ratios | dists is.dists |
Convert Distances & Ratios to PCF | dists2pcf |
Class fv_pcf: Function Value Table for PCFs | fv_pcf is.fv_pcf print.fv_pcf summary.fv_pcf |
Convert a Pattern to Distances & Ratios | pat2dists |
Plot PCF | plot.fv_pcf |
Simulated Patterns (sample data) | sim_area sim_patterns sim_pat_clust sim_pat_rand sim_pat_reg |