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:Robert Nuske [aut, cre]

apcf_0.3.1.tar.gz
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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://rnuske.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rnuske/apcf/issues

Uses libs:
  • geos– Geometry engine for Geographic Information Systems
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

geogeospoint-pattern-analysisspatial-statistics

4.48 score 5 stars 12 scripts 708 downloads 6 exports 2 dependencies

Last updated 5 months agofrom:b5430bbbca. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-win-x86_64OKNov 10 2024
R-4.5-linux-x86_64OKNov 10 2024
R-4.4-win-x86_64OKNov 10 2024
R-4.4-mac-x86_64OKNov 10 2024
R-4.4-mac-aarch64OKNov 10 2024
R-4.3-win-x86_64OKNov 10 2024
R-4.3-mac-x86_64OKNov 10 2024
R-4.3-mac-aarch64OKNov 10 2024

Exports:distsdists2pcffv_pcfis.distsis.fv_pcfpat2dists

Dependencies:Rcppwk

Introduction to apcf

Rendered fromintro.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2022-11-08
Started: 2017-04-04

Readme and manuals

Help Manual

Help pageTopics
Adapted Pair Correlation Functionapcf-package apcf
Class dists: Collection of Distances and Ratiosdists is.dists
Convert Distances & Ratios to PCFdists2pcf
Class fv_pcf: Function Value Table for PCFsfv_pcf is.fv_pcf print.fv_pcf summary.fv_pcf
Convert a Pattern to Distances & Ratiospat2dists
Plot PCFplot.fv_pcf
Simulated Patterns (sample data)sim_area sim_patterns sim_pat_clust sim_pat_rand sim_pat_reg