Package: rgeoda 0.0.10-4

Xun Li

rgeoda: R Library for Spatial Data Analysis

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 <https://geodacenter.github.io>.

Authors:Xun Li [aut, cre], Luc Anselin [aut]

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rgeoda.pdf |rgeoda.html✨
rgeoda/json (API)

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

Peer review:

Bug tracker:https://github.com/geodacenter/rgeoda/issues

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

On CRAN:

dataanalysisgeodageospatial

76 exports 70 stars 3.78 score 15 dependencies 2 dependents 121 scripts 1.8k downloads

Last updated 2 months agofrom:a5ad03c6ef. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-win-x86_64NOTESep 13 2024
R-4.5-linux-x86_64NOTESep 13 2024
R-4.4-win-x86_64NOTESep 13 2024
R-4.4-mac-x86_64NOTESep 13 2024
R-4.4-mac-aarch64NOTESep 13 2024
R-4.3-win-x86_64OKSep 13 2024
R-4.3-mac-x86_64OKSep 13 2024
R-4.3-mac-aarch64OKSep 13 2024

Exports:as.geodaazp_greedyazp_saazp_tabucreate_weightsdistance_weightseb_ratesgda_distance_weightsgda_kernel_knn_weightsgda_kernel_weightsgda_knn_weightsgda_min_distthresholdgda_queen_weightsgda_rook_weightsgeoda_openget_neighborsget_neighbors_weightshas_isolateshinge15_breakshinge30_breaksis_symmetricjoin_count_ratiokernel_knn_weightskernel_weightsknn_weightslisa_bolisa_clusterslisa_colorslisa_fdrlisa_labelslisa_num_nbrslisa_pvalueslisa_valueslocal_bijoincountlocal_bimoranlocal_glocal_gearylocal_gstarlocal_joincountlocal_moranlocal_moran_eblocal_multigearylocal_multijoincountlocal_multiquantilelisalocal_quantilelisamake_spatialmax_neighborsmaxp_greedymaxp_samaxp_tabumean_neighborsmedian_neighborsmin_distthresholdmin_neighborsnatural_breaksneighbor_match_testpercentile_breaksquantile_breaksqueen_weightsread_galread_gwtread_swmredcaprook_weightssave_weightsschcset_neighborsset_neighbors_with_weightssf_to_geodaskatersp_to_geodaspatial_lagspatial_validationstddev_breaksupdate_weightsweights_sparsity

Dependencies:BHclassclassIntDBIdigeste1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk

Readme and manuals

Help Manual

Help pageTopics
convert rgeoda instance to data.frameas.data.frame.geoda
Create an instance of geoda-class from either an 'sf' or 'sp' objectas.geoda
spatial weights to matrixas.matrix.Weight
A greedy algorithm to solve the AZP problemazp_greedy
A simulated annealing algorithm to solve the AZP problemazp_sa
A tabu algorithm to solve the AZP problemazp_tabu
Create an empty weightscreate_weights
Distance-based Spatial Weightsdistance_weights
Empirical Bayes(EB) Rateeb_rates
(For internally use and test only) Distance-based Spatial Weightsgda_distance_weights
(For internally use and test only) K-NN Kernel Spatial Weightsgda_kernel_knn_weights
(For internally use and test only) Distance-based Kernel Spatial Weightsgda_kernel_weights
(For internally use and test only) K-Nearest Neighbors-based Spatial Weightsgda_knn_weights
(For internally use and test only) Minimum Distance Threshold for Distance-based Weightsgda_min_distthreshold
(For internally use and test only) Queen Contiguity Spatial Weightsgda_queen_weights
(For internally use and test only) Rook Contiguity Spatial Weightsgda_rook_weights
Create an instance of geoda-class by reading from an ESRI Shapefile datasetgeoda_open
'geoda' classgeoda geoda-class
Neighbors of one observationget_neighbors
Weights values of the neighbors of one observationget_neighbors_weights
Isolation/Island in Spatial Weightshas_isolates
(Box) Hinge15 Breakshinge15_breaks
(Box) Hinge30 Breakshinge30_breaks
Symmetry of Weights Matrixis_symmetric
Join Count Ratiojoin_count_ratio
K-NN Kernel Spatial Weightskernel_knn_weights
Distance-based Kernel Spatial Weightskernel_weights
K-Nearest Neighbors-based Spatial Weightsknn_weights
Bonferroni bound value of local spatial autocorrelationlisa_bo
Get local cluster indicatorslisa_clusters
Get cluster colorslisa_colors
False Discovery Rate value of local spatial autocorrelationlisa_fdr
Get cluster labelslisa_labels
Get numbers of neighbors for all observationslisa_num_nbrs
Get pseudo-p values of LISAlisa_pvalues
Get LISA valueslisa_values
LISA class (Internally Used)LISA LISA-class
Bivariate Local Join Count Statisticslocal_bijoincount
Bivariate Local Moran Statisticslocal_bimoran
Local Getis-Ord's G Statisticslocal_g
Local Geary Statisticslocal_geary
Local Getis-Ord's G* Statisticslocal_gstar
Local Join Count Statisticslocal_joincount
Local Moran Statisticslocal_moran
Local Moran with Empirical Bayes(EB) Ratelocal_moran_eb
Local Multivariate Geary Statisticslocal_multigeary
(Multivariate) Colocation Local Join Count Statisticslocal_multijoincount
Multivariate Quantile LISA Statisticslocal_multiquantilelisa
Quantile LISA Statisticslocal_quantilelisa
Make Spatialmake_spatial
Maximum Neighbors of Spatial Weightsmax_neighbors
A greedy algorithm to solve the max-p-region problemmaxp_greedy
A simulated annealing algorithm to solve the max-p-region problemmaxp_sa
A tabu-search algorithm to solve the max-p-region problemmaxp_tabu
Mean Neighbors of Spatial Weightsmean_neighbors
Median Neighbors of Spatial Weightsmedian_neighbors
Minimum Distance Threshold for Distance-based Weightsmin_distthreshold
Minimum Neighbors of Spatial Weightsmin_neighbors
Natural Breaks (Jenks)natural_breaks
Local Neighbor Match Testneighbor_match_test
p_GeoDa$,p_GeoDa-method p_GeoDa p_GeoDa-class
p_GeoDaTable$,p_GeoDaTable-method p_GeoDaTable p_GeoDaTable-class
p_GeoDaWeight$,p_GeoDaWeight-method p_GeoDaWeight p_GeoDaWeight-class
p_LISA$,p_LISA-method p_LISA p_LISA-class
Percentile Breakspercentile_breaks
Quantile Breaksquantile_breaks
Queen Contiguity Spatial Weightsqueen_weights
Read a .GAL fileread_gal
Read a .GWT fileread_gwt
Read a .SWM fileread_swm
Regionalization with dynamically constrained agglomerative clustering and partitioningredcap
Rook Contiguity Spatial Weightsrook_weights
Save Spatial Weightssave_weights
Spatially Constrained Hierarchical Clucstering (SCHC)schc
Set neighbors of an observationset_neighbors
Set neighbors and weights values of an observationset_neighbors_with_weights
Create an instance of geoda-class from a 'sf' objectsf_to_geoda
Spatial C(K)luster Analysis by Tree Edge Removalskater
Create an instance of geoda-class from a 'sp' objectsp_to_geoda
Spatial Lagspatial_lag
Spatial Validationspatial_validation
Standard Deviation Breaksstddev_breaks
Summary of Spatial Weightssummary.Weight
Update meta data of a spatial weightsupdate_weights
Weight class (Internally Used)Weight Weight-class
Sparsity of Spatial Weightsweights_sparsity