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rgeoda  

R Library for Spatial Data Analysis
View on CRAN: Click here


Download and install rgeoda package within the R console
Install from CRAN:
install.packages("rgeoda")

Install from Github:
library("remotes")
install_github("cran/rgeoda")

Install by package version:
library("remotes")
install_version("rgeoda", "0.1.0")



Attach the package and use:
library("rgeoda")
Maintained by
Xun Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-28
Latest Update: 2025-03-06
Description:
Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at .
How to cite:
Xun Li (2021). rgeoda: R Library for Spatial Data Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/rgeoda. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.0.6 (2021-01-28 13:50), 0.0.8-1 (2021-03-04 08:50), 0.0.8-2 (2021-07-19 21:40), 0.0.8-3 (2021-07-22 09:40), 0.0.8-4 (2021-08-05 23:30), 0.0.8-6 (2021-09-08 22:20), 0.0.8 (2021-02-26 22:40), 0.0.9 (2022-04-11 11:40), 0.0.10-2 (2023-01-30 11:00), 0.0.10-4 (2023-07-01 22:00), 0.0.11-1 (2024-12-19 09:30), 0.1.0 (2025-03-07 00:50)
Other packages that cited rgeoda R package
View rgeoda citation profile
Other R packages that rgeoda depends, imports, suggests or enhances
Complete documentation for rgeoda
Functions, R codes and Examples using the rgeoda R package
Some associated functions: LISA-class . Weight-class . as.data.frame.geoda . as.geoda . as.matrix.Weight . azp_greedy . azp_sa . azp_tabu . create_weights . distance_weights . eb_rates . gda_distance_weights . gda_kernel_knn_weights . gda_kernel_weights . gda_knn_weights . gda_min_distthreshold . gda_queen_weights . gda_rook_weights . geoda-class . geoda_open . get_neighbors . get_neighbors_weights . has_isolates . hinge15_breaks . hinge30_breaks . is_symmetric . join_count_ratio . kernel_knn_weights . kernel_weights . knn_weights . lisa_bo . lisa_clusters . lisa_colors . lisa_fdr . lisa_labels . lisa_num_nbrs . lisa_pvalues . lisa_values . local_bijoincount . local_bimoran . local_g . local_geary . local_gstar . local_joincount . local_moran . local_moran_eb . local_multigeary . local_multijoincount . local_multiquantilelisa . local_quantilelisa . make_spatial . max_neighbors . maxp_greedy . maxp_sa . maxp_tabu . mean_neighbors . median_neighbors . min_distthreshold . min_neighbors . natural_breaks . neighbor_match_test . p_GeoDa-class . p_GeoDaTable-class . p_GeoDaWeight-class . p_LISA-class . percentile_breaks . quantile_breaks . queen_weights . read_gal . read_gwt . read_swm . redcap . rook_weights . save_weights . schc . set_neighbors . set_neighbors_with_weights . sf_to_geoda . skater . sp_to_geoda . spatial_lag . spatial_validation . stddev_breaks . summary.Weight . update_weights . weights_sparsity . 
Some associated R codes: RcppExports.R . clustering.R . init.R . lisa.R . read_geoda.R . rgeoda.R . sf_geoda.R . utils.R . weights.R .  Full rgeoda package functions and examples
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