Package: tidyrgeoda 0.1.1

tidyrgeoda: A tidy interface for rgeoda

An interface for 'rgeoda' to integrate with 'sf' objects and the 'tidyverse'.

Authors:Wenbo Lyu [aut, cre]

tidyrgeoda_0.1.1.tar.gz
tidyrgeoda_0.1.1.zip(r-4.7)tidyrgeoda_0.1.1.zip(r-4.6)tidyrgeoda_0.1.1.zip(r-4.5)
tidyrgeoda_0.1.1.tgz(r-4.6-any)tidyrgeoda_0.1.1.tgz(r-4.5-any)
tidyrgeoda_0.1.1.tar.gz(r-4.7-any)tidyrgeoda_0.1.1.tar.gz(r-4.6-any)
tidyrgeoda_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tidyrgeoda/json (API)
NEWS

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

Bug tracker:https://github.com/spatlyu/tidyrgeoda/issues

Pkgdown/docs site:https://spatlyu.github.io

Datasets:
  • gzma - Guangzhou Metropolitan Social Space Quality Score Data

On CRAN:

Conda:

geocomputationgeoinformaticsgisciencespatial-analysisspatial-statistics

4.26 score 18 stars 5 scripts 34 exports 42 dependencies

Last updated from:982f325e76. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE183
source / vignettesOK218
linux-release-x86_64NOTE187
macos-release-arm64NOTE98
macos-oldrel-arm64NOTE102
windows-develNOTE153
windows-releaseNOTE142
windows-oldrelNOTE129
wasm-releaseOK150

Exports:read_geodascale_fill_lisast_azp_greedyst_azp_sast_azp_tabust_breaksst_contiguity_weightsst_distance_weightsst_kernel_knn_weightsst_kernel_weightsst_knn_weightsst_lagst_lnmtst_local_bijoincountst_local_bimoranst_local_gst_local_gearyst_local_gstarst_local_joincountst_local_moranst_local_moran_ebst_local_multigearyst_local_multijoincountst_local_multiquantilelisast_local_quantilelisast_maxp_greedyst_maxp_sast_maxp_tabust_redcapst_schcst_skaterst_summaryst_weightswrite_geoda

Dependencies:BHclassclassIntclicpp11DBIdigestdplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSpillarpkgconfigproxyR6RColorBrewerRcpprgeodarlangs2S7scalessfstringistringrtibbletidyselectunitsutf8vctrsviridisLitewithrwk

Local Indicators of Spatial Association(LISA)

Wenbo Lv

Rendered fromLocal-Indicators-of-Spatial-Association.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2024-06-07
Started: 2024-05-26

Spatial Weights in tidyrgeoda

Rendered fromSpatial-Weights.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2024-06-07
Started: 2024-05-26

Readme and manuals

Help Manual

Help pageTopics
Guangzhou Metropolitan Social Space Quality Score Datagzma
Read A Geoda File(.gal,.gwt,.swm)read_geoda
LISA Fill Scalesscale_fill_lisa
A greedy algorithm to solve the AZP problemst_azp_greedy
A simulated annealing algorithm to solve the AZP problemst_azp_sa
A tabu algorithm to solve the AZP problemst_azp_tabu
Univariate Spatial Stratificationst_breaks
Contiguity Spatial Weightsst_contiguity_weights
Distance-based Spatial Weightsst_distance_weights
K-NN Kernel Spatial Weightsst_kernel_knn_weights
Distance-based Kernel Spatial Weightsst_kernel_weights
K-Nearest Neighbors-based Spatial Weightsst_knn_weights
Spatial Lagst_lag
Local Neighbor Match Testst_lnmt
Bivariate Local Join Count Statisticsst_local_bijoincount
Bivariate Local Moran Statisticsst_local_bimoran
Local Getis-Ord's G Statisticsst_local_g
Local Geary Statisticsst_local_geary
Local Getis-Ord's G* Statisticsst_local_gstar
Local Join Count Statisticsst_local_joincount
Local Moran Statisticsst_local_moran
Local Moran with Empirical Bayes(EB) Ratest_local_moran_eb
Local Multivariate Geary Statisticsst_local_multigeary
(Multivariate) Colocation Local Join Count Statisticsst_local_multijoincount
Multivariate Quantile LISA Statisticsst_local_multiquantilelisa
Quantile LISA Statisticsst_local_quantilelisa
A greedy algorithm to solve the max-p-region problemst_maxp_greedy
A simulated annealing algorithm to solve the max-p-region problemst_maxp_sa
A tabu-search algorithm to solve the max-p-region problemst_maxp_tabu
Regionalization with dynamically constrained agglomerative clustering and partitioning(REDCAP)st_redcap
Spatially Constrained Hierarchical Clucstering (SCHC)st_schc
Spatial C(K)luster Analysis by Tree Edge Removal(SKATER)st_skater
Summary of Spatial Weightsst_summary
Construct Spatial Weightsst_weights
Save Spatial Weightswrite_geoda