Package: heterogen 1.2.33

heterogen: Spatial Functions for Heterogeneity and Climate Variability

A comprehensive suite of spatial functions created to analyze and assess data heterogeneity and climate variability in spatial datasets. This package is specifically designed to address the challenges associated with characterizing and understanding complex spatial patterns in environmental and climate-related data.

Authors:P.Joser Atauchi [aut, cre], A. Townsend Peterson [ctb]

heterogen_1.2.33.tar.gz
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heterogen_1.2.33.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
heterogen/json (API)
NEWS

# Install 'heterogen' in R:
install.packages('heterogen', repos = c('https://patauchi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/patauchi/heterogen/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

1.70 score 425 downloads 11 exports 52 dependencies

Last updated from:aa002d9625. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK218
linux-devel-x86_64OK207
source / vignettesOK222
linux-release-arm64OK199
linux-release-x86_64OK206
macos-release-arm64OK216
macos-release-x86_64OK354
macos-oldrel-arm64OK269
macos-oldrel-x86_64OK627
windows-develOK185
windows-releaseOK182
windows-oldrelOK179
wasm-releaseOK146

Exports:bg_transposedistance_weighted_gaussfloat_relativefloat_roundgwpca_coregwpca_df_mcheterogmatrixcec_squarematrixmultmatrixvec_plusmatrixvec_subs

Dependencies:bitbit64cellrangerclicliprcodetoolscpp11crayoncurldata.tabledigestfarverforcatsforeignfutureglobalsgluehavenhmslabelinglifecyclelistenvmagrittrparallellypillarpkgconfigprettyunitsprogressR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppEigenreadrreadxlrematchriorlangscalesterratibbletidyselecttzdbutf8vctrsviridisLitevroomwithrwritexl

Readme and manuals

Help Manual

Help pageTopics
bg_transposebg_transpose
distance_weighted_gaussdistance_weighted_gauss
float_relativefloat_relative
float_roundfloat_round
Core Function of GWPCAgwpca_core
Perform GWPCA from data.frame with spatial structure.gwpca_df_mc
Heterogeneity (rasters)heterog
matrixcec_squarematrixcec_square
matrixmultmatrixmult
matrixvec_plusmatrixvec_plus
matrixvec_subsmatrixvec_subs
Plot Heterogeneity Layerplot,SpatHetero,ANY-method
SpatHeteroSpatHetero-class