R Library for Spatial Data Analysis
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Documentation for package ‘rgeoda’ version 0.1.0
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| $-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 |
| eb_rates_standardization | Empirical Bayes(EB) Rate Standardization |
| 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 |