rgeoda0.0.10-4 package

R Library for Spatial Data Analysis

convert rgeoda instance to data.frame

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

spatial weights to matrix

A greedy algorithm to solve the AZP problem

A simulated annealing algorithm to solve the AZP problem

A tabu algorithm to solve the AZP problem

Create an empty weights

Distance-based Spatial Weights

Empirical Bayes(EB) Rate

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

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

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

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

(For internally use and test only) Minimum Distance Threshold for Dist...

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

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

'geoda' class

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

Neighbors of one observation

Weights values of the neighbors of one observation

Isolation/Island in Spatial Weights

(Box) Hinge15 Breaks

(Box) Hinge30 Breaks

Symmetry of Weights Matrix

Join Count Ratio

K-NN Kernel Spatial Weights

Distance-based Kernel Spatial Weights

K-Nearest Neighbors-based Spatial Weights

LISA class (Internally Used)

Bonferroni bound value of local spatial autocorrelation

Get local cluster indicators

Get cluster colors

False Discovery Rate value of local spatial autocorrelation

Get cluster labels

Get numbers of neighbors for all observations

Get pseudo-p values of LISA

Get LISA values

Bivariate Local Join Count Statistics

Bivariate Local Moran Statistics

Local Getis-Ord's G Statistics

Local Geary Statistics

Local Getis-Ord's G* Statistics

Local Join Count Statistics

Local Moran Statistics

Local Moran with Empirical Bayes(EB) Rate

Local Multivariate Geary Statistics

(Multivariate) Colocation Local Join Count Statistics

Multivariate Quantile LISA Statistics

Quantile LISA Statistics

Make Spatial

Maximum Neighbors of Spatial Weights

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

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

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

Mean Neighbors of Spatial Weights

Median Neighbors of Spatial Weights

Minimum Distance Threshold for Distance-based Weights

Minimum Neighbors of Spatial Weights

Natural Breaks (Jenks)

Local Neighbor Match Test

p_GeoDa

p_GeoDaTable

p_GeoDaWeight

p_LISA

Percentile Breaks

Quantile Breaks

Queen Contiguity Spatial Weights

Read a .GAL file

Read a .GWT file

Read a .SWM file

Regionalization with dynamically constrained agglomerative clustering ...

Rook Contiguity Spatial Weights

Save Spatial Weights

Spatially Constrained Hierarchical Clucstering (SCHC)

Set neighbors of an observation

Set neighbors and weights values of an observation

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

Spatial C(K)luster Analysis by Tree Edge Removal

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

Spatial Lag

Spatial Validation

Standard Deviation Breaks

Summary of Spatial Weights

Update meta data of a spatial weights

Weight class (Internally Used)

Sparsity of Spatial Weights

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>.

Maintainer: Xun Li License: GPL (>= 2) Last published: 2023-07-01

Useful links