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rgeoda (version 0.0.6)

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

1,814

Version

0.0.6

License

GPL (>= 2)

Maintainer

Xun Li

Last Published

January 28th, 2021

Functions in rgeoda (0.0.6)

azp_greedy

A greedy algorithm to solve the AZP problem
azp_tabu

A tabu algorithm to solve the AZP problem
Weight-class

Weight class (Internally Used)
demean

Demean Standardize
as.data.frame.geoda

convert rgeoda instance to data.frame
distance_weights

Distance-based Spatial Weights
azp_sa

A simulated annealing algorithm to solve the AZP problem
LISA-class

LISA class (Internally Used)
between_sumofsquare

Between Sum of Square
local_g

Local Getis-Ord's G Statistics
kernel_knn_weights

K-NN Kernel Spatial Weights
stddev_breaks

Standard Deviation Breaks
local_geary

Local Geary Statistics
summary.Weight

Summary of Spatial Weights
maxp_sa

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

Bonferroni bound value of local spatial autocorrelation
knn_weights

K-Nearest Neighbors-based Spatial Weights
maxp_tabu

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

Get cluster colors
lisa_clusters

Get local cluster indicators
geoda-class

'geoda' class
kernel_weights

Distance-based Kernel Spatial Weights
geoda_open

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

Get LISA values
hinge30_breaks

(Box) Hinge30 Breaks
local_multijoincount

Local Multivariate Join Count Statistics
min_distthreshold

Minimum Distance Threshold for Distance-based Weights
median_absolute_deviation

Median absolute deviation
rook_weights

Rook Contiguity Spatial Weights
local_bijoincount

Local Bivariate Join Count Statistics
local_multiquantilelisa

Multivariate Quantile LISA Statistics
get_neighbors

Neighbor Information of Spatial Weights
has_isolates

Isolation/Island in Spatial Weights
lisa_num_nbrs

Get numbers of neighbors for all observations
lisa_pvalues

Get pseudo-p values of LISA
local_quantilelisa

Quantile LISA Statistics
is_symmetric

Symmetry of Weights Matrix
hinge15_breaks

(Box) Hinge15 Breaks
schc

Spatially Constrained Hierarchical Clucstering (SCHC)
natural_breaks

Natural Breaks (Jenks)
local_gstar

Local Getis-Ord's G* Statistics
p_GeoDa-class

p_GeoDa
sf_to_geoda

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

Sparsity of Spatial Weights
within_sumofsquare

Within Sum of Square
save_weights

Save Spatial Weights
maxp_greedy

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

Local Join Count Statistics
p_GeoDaWeight-class

p_GeoDaWeight
local_moran

Local Moran Statistics
lisa_fdr

False Discovery Rate value of local spatial autocorrelation
lisa_labels

Get cluster labels
queen_weights

Queen Contiguity Spatial Weights
p_LISA-class

p_LISA
local_multigeary

Local Multivariate Geary Statistics
percentile_breaks

Percentile Breaks
weights_density

Density of Spatial Weights
total_sumofsquare

Total Sum of Square
quantile_breaks

Quantile Breaks
standardize

Standardize Data (Z)
spatial_lag

Spatial Lag
skater

Spatial C(K)luster Analysis by Tree Edge Removal
sp_to_geoda

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

Regionalization with dynamically constrained agglomerative clustering and partitioning