doi:10.1553/giscience2017_01_s36> and are described in greater detail in (Tsutsumida et al., 2019)<doi:10.5194/ica-abs-1-372-2019> and (Percival et al., 2021)<doi:10.48550/arXiv.2101.03491>.">

gwpcormapper: Geographically Weighted Partial Correlation Mapper (original) (raw)

An interactive mapping tool for geographically weighted correlation and partial correlation. Geographically weighted partial correlation coefficients are calculated following (Percival and Tsutsumida, 2017)<doi:10.1553/giscience2017_01_s36> and are described in greater detail in (Tsutsumida et al., 2019)<doi:10.5194/ica-abs-1-372-2019> and (Percival et al., 2021)<doi:10.48550/arXiv.2101.03491>.

Version: 0.1.3
Depends: R (≥ 2.10)
Imports: config, golem, shiny, processx, attempt, DT, glue, htmltools, shinydashboard, sf, dplyr, geodist, plotly, crosstalk, viridis, leaflet, tools, shinyjs, Rcpp, corpcor, pkgload, methods
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2021-12-09
DOI: 10.32614/CRAN.package.gwpcormapper
Author: Joseph Emile Honour PercivalORCID iD [aut, cre], Narumasa TsutsumidaORCID iD [aut]
Maintainer: Joseph Emile Honour Percival
BugReports: https://github.com/gwpcor/gwpcormapper/issues
License: GPL-3
URL: https://github.com/gwpcor/gwpcormapper
NeedsCompilation: yes
Materials: NEWS
CRAN checks: gwpcormapper results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=gwpcormapperto link to this page.