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 Lv [aut, cre]

tidyrgeoda_0.1.1.tar.gz
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tidyrgeoda.pdf |tidyrgeoda.html✨
tidyrgeoda/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

geocomputationgeoinformaticsgisciencespatial-analysisspatial-statistics

34 exports 8 stars 1.38 score 47 dependencies

Last updated 4 days agofrom:cd9def59b2da932a77b3e962e27410ccdd723530

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:BHclassclassIntclicolorspaceDBIdigestdplyre1071fansifarvergenericsggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigproxyR6RColorBrewerRcpprgeodarlangs2scalessfstringistringrtibbletidyselectunitsutf8vctrsviridisLitewithrwk

Local Indicators of Spatial Association(LISA)

Wenbo Lv

Rendered fromLocal-Indicators-of-Spatial-Association.Rmdusingknitr::rmarkdownon Jun 29 2024.

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

Spatial Weights in tidyrgeoda

Rendered fromSpatial-Weights.Rmdusingknitr::rmarkdownon Jun 29 2024.

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