All functions

LISA-class

LISA class (Internally Used)

Weight-class

Weight class (Internally Used)

as.data.frame(<geoda>)

convert rgeoda instance to data.frame

as.geoda()

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

as.matrix(<Weight>)

spatial weights to matrix

azp_greedy()

A greedy algorithm to solve the AZP problem

azp_sa()

A simulated annealing algorithm to solve the AZP problem

azp_tabu()

A tabu algorithm to solve the AZP problem

create_weights()

Create an empty weights

distance_weights()

Distance-based Spatial Weights

eb_rates()

Empirical Bayes(EB) Rate

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

gda_kernel_weights()

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

gda_knn_weights()

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

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

gda_rook_weights()

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

geoda-class

'geoda' class

geoda_open()

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

get_neighbors()

Neighbors of one observation

get_neighbors_weights()

Weights values of the neighbors of one observation

has_isolates()

Isolation/Island in Spatial Weights

hinge15_breaks()

(Box) Hinge15 Breaks

hinge30_breaks()

(Box) Hinge30 Breaks

is_symmetric()

Symmetry of Weights Matrix

join_count_ratio()

Join Count Ratio

kernel_knn_weights()

K-NN Kernel Spatial Weights

kernel_weights()

Distance-based Kernel Spatial Weights

knn_weights()

K-Nearest Neighbors-based Spatial Weights

lisa_bo()

Bonferroni bound value of local spatial autocorrelation

lisa_clusters()

Get local cluster indicators

lisa_colors()

Get cluster colors

lisa_fdr()

False Discovery Rate value of local spatial autocorrelation

lisa_labels()

Get cluster labels

lisa_num_nbrs()

Get numbers of neighbors for all observations

lisa_pvalues()

Get pseudo-p values of LISA

lisa_values()

Get LISA values

local_bijoincount()

Bivariate Local Join Count Statistics

local_bimoran()

Bivariate Local Moran Statistics

local_g()

Local Getis-Ord's G Statistics

local_geary()

Local Geary Statistics

local_gstar()

Local Getis-Ord's G* Statistics

local_joincount()

Local Join Count Statistics

local_moran()

Local Moran Statistics

local_moran_eb()

Local Moran with Empirical Bayes(EB) Rate

local_multigeary()

Local Multivariate Geary Statistics

local_multijoincount()

(Multivariate) Colocation Local Join Count Statistics

local_multiquantilelisa()

Multivariate Quantile LISA Statistics

local_quantilelisa()

Quantile LISA Statistics

make_spatial()

Make Spatial

max_neighbors()

Maximum Neighbors of Spatial Weights

maxp_greedy()

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

maxp_sa()

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

maxp_tabu()

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

mean_neighbors()

Mean Neighbors of Spatial Weights

median_neighbors()

Median Neighbors of Spatial Weights

min_distthreshold()

Minimum Distance Threshold for Distance-based Weights

min_neighbors()

Minimum Neighbors of Spatial Weights

natural_breaks()

Natural Breaks (Jenks)

neighbor_match_test()

Local Neighbor Match Test

p_GeoDa-class

p_GeoDa

p_GeoDaTable-class

p_GeoDaTable

p_GeoDaWeight-class

p_GeoDaWeight

p_LISA-class

p_LISA

percentile_breaks()

Percentile Breaks

quantile_breaks()

Quantile Breaks

queen_weights()

Queen Contiguity Spatial Weights

read_gal()

Read a .GAL file

read_gwt()

Read a .GWT file

read_swm()

Read a .SWM file

redcap()

Regionalization with dynamically constrained agglomerative clustering and partitioning

rook_weights()

Rook Contiguity Spatial Weights

save_weights()

Save Spatial Weights

schc()

Spatially Constrained Hierarchical Clucstering (SCHC)

set_neighbors()

Set neighbors of an observation

set_neighbors_with_weights()

Set neighbors and weights values of an observation

sf_to_geoda()

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

skater()

Spatial C(K)luster Analysis by Tree Edge Removal

sp_to_geoda()

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

spatial_lag()

Spatial Lag

spatial_validation()

Spatial Validation

stddev_breaks()

Standard Deviation Breaks

summary(<Weight>)

Summary of Spatial Weights

update_weights()

Update meta data of a spatial weights

weights_sparsity()

Sparsity of Spatial Weights