# R Library for Spatial Data Analysis

## Documentation for package ‘rgeoda’ version 0.0.10-4

- DESCRIPTION file.

## Help Pages

$-method | p_GeoDa
$-method | p_GeoDaTable
$-method | p_GeoDaWeight
$-method | p_LISA
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 | 'geoda' class
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 | LISA class (Internally Used)
LISA-class | LISA class (Internally Used)
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
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
max_neighbors | Maximum Neighbors of Spatial Weights
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
percentile_breaks | Percentile Breaks
p_GeoDa | p_GeoDa
p_GeoDa-class | p_GeoDa
p_GeoDaTable | p_GeoDaTable
p_GeoDaTable-class | p_GeoDaTable
p_GeoDaWeight | p_GeoDaWeight
p_GeoDaWeight-class | p_GeoDaWeight
p_LISA | p_LISA
p_LISA-class | p_LISA
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
spatial_lag | Spatial Lag
spatial_validation | Spatial Validation
sp_to_geoda | Create an instance of geoda-class from a 'sp' object
stddev_breaks | Standard Deviation Breaks
summary.Weight | Summary of Spatial Weights
update_weights | Update meta data of a spatial weights
Weight | Weight class (Internally Used)
Weight-class | Weight class (Internally Used)
weights_sparsity | Sparsity of Spatial Weights