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rgeoda (version 0.1.1)

R Library for Spatial Data Analysis

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 .

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Version

Install

install.packages('rgeoda')

Monthly Downloads

4,842

Version

0.1.1

License

GPL (>= 2)

Issues

Pull Requests

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Repository

https://github.com/geodacenter/rgeoda/

Homepage

https://geodacenter.github.io/rgeoda/

Maintainer

Xun Li

Last Published

February 19th, 2026

Functions in rgeoda (0.1.1)

gda_min_distthreshold

(For internally use and test only) Minimum Distance Threshold for Distance-based Weights

gda_queen_weights

(For internally use and test only) Queen Contiguity Spatial Weights

Weight class (Internally Used)

gda_kernel_weights

(For internally use and test only) Distance-based Kernel Spatial Weights

Create an instance of geoda-class by reading from an ESRI Shapefile dataset

gda_distance_weights

(For internally use and test only) Distance-based Spatial Weights

gda_kernel_knn_weights

(For internally use and test only) K-NN Kernel Spatial Weights

Isolation/Island in Spatial Weights

get_neighbors_weights

Weights values of the neighbors of one observation

Distance-based Kernel Spatial Weights

Get pseudo-p values of LISA

eb_rates_standardization

Empirical Bayes(EB) Rate Standardization

Get numbers of neighbors for all observations

kernel_knn_weights

K-NN Kernel Spatial Weights

Get cluster labels

False Discovery Rate value of local spatial autocorrelation

Bonferroni bound value of local spatial autocorrelation

Neighbors of one observation

K-Nearest Neighbors-based Spatial Weights

(Box) Hinge15 Breaks

(Box) Hinge30 Breaks

join_count_ratio

Join Count Ratio

Get cluster colors

Symmetry of Weights Matrix

gda_knn_weights

(For internally use and test only) K-Nearest Neighbors-based Spatial Weights

local_joincount

Local Join Count Statistics

Get local cluster indicators

local_multijoincount

(Multivariate) Colocation Local Join Count Statistics

local_multiquantilelisa

Multivariate Quantile LISA Statistics

Local Moran Statistics

median_neighbors

Median Neighbors of Spatial Weights

Mean Neighbors of Spatial Weights

Bivariate Local Moran Statistics

Local Geary Statistics

Get LISA values

local_bijoincount

Bivariate Local Join Count Statistics

A greedy algorithm to solve the max-p-region problem

Local Getis-Ord's G* Statistics

Maximum Neighbors of Spatial Weights

min_distthreshold

Minimum Distance Threshold for Distance-based Weights

local_quantilelisa

Quantile LISA Statistics

Read a .GAL file

set_neighbors_with_weights

Set neighbors and weights values of an observation

Set neighbors of an observation

Queen Contiguity Spatial Weights

p_GeoDaWeight-class

neighbor_match_test

Local Neighbor Match Test

Natural Breaks (Jenks)

Summary of Spatial Weights

Local Getis-Ord's G Statistics

Local Moran with Empirical Bayes(EB) Rate

A tabu-search algorithm to solve the max-p-region problem

A simulated annealing algorithm to solve the max-p-region problem

p_GeoDaTable-class

Update meta data of a spatial weights

local_multigeary

Local Multivariate Geary Statistics

spatial_validation

Spatial Validation

Read a .GWT file

Read a .SWM file

Spatially Constrained Hierarchical Clucstering (SCHC)

Create an instance of geoda-class from a 'sp' object

Create an instance of geoda-class from a 'sf' object

Save Spatial Weights

Spatial C(K)luster Analysis by Tree Edge Removal

quantile_breaks

Quantile Breaks

Rook Contiguity Spatial Weights

percentile_breaks

Percentile Breaks

Regionalization with dynamically constrained agglomerative clustering and partitioning

Minimum Neighbors of Spatial Weights

weights_sparsity

Sparsity of Spatial Weights

Standard Deviation Breaks

A greedy algorithm to solve the AZP problem

LISA class (Internally Used)

distance_weights

Distance-based Spatial Weights

as.matrix.Weight

spatial weights to matrix

as.data.frame.geoda

convert rgeoda instance to data.frame

A simulated annealing algorithm to solve the AZP problem

A tabu algorithm to solve the AZP problem

Create an empty weights

Create an instance of geoda-class from either an 'sf' or 'sp' object

gda_rook_weights

(For internally use and test only) Rook Contiguity Spatial Weights

Empirical Bayes(EB) Rate