Man pages for lixun910/rgeoda
R Library for Spatial Data Analysis
| as.data.frame.geoda | convert rgeoda instance to data.frame |
| 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 |
| between_sumofsquare | Between Sum of Square |
| demean | Demean standardize |
| distance_weights | Create a distance-based weights |
| geoda-class | A R wrapper for p_GeoDa |
| geoda_open | Create a geoda object by reading a spatial dataset |
| get_neighbors | Get neighbors for idx-th observation based on weights matrix |
| has_isolates | Check if weights matrix has isolates |
| hinge15_breaks | (Box) Hinge15 Breaks |
| hinge30_breaks | (Box) Hinge30 Breaks |
| is_symmetric | Check if weights matrix is symmetric |
| kernel_knn_weights | Create a kernel weights with KNN specified bandwidth |
| kernel_weights | Create a kernel weights with fixed bandwidth |
| knn_weights | Create a KNN weights |
| lisa_bo | Get Bonferroni bound value of local spatial autocorrelation |
| LISA-class | LISA class (Internally Used) |
| lisa_clusters | Get values of local cluster indicators |
| lisa_colors | Get cluster colors |
| lisa_fdr | Get False Discovery Rate value of local spatial... |
| lisa_labels | Get cluster labels |
| lisa_num_nbrs | Get numbers of neighbors for all observations |
| lisa_pvalues | Get values of local pseudo-p values |
| lisa_values | Get values of local spatial autocorrelation |
| local_bijoincount | Local Bivariate Join Count 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_multigeary | Local Multivariate Geary statistics |
| local_multijoincount | Local Multivariate Join Count statistics |
| local_multiquantilelisa | Multivariate Quantile LISA statistics |
| local_quantilelisa | Quantile LISA statistics |
| maxp_greedy | A greedy algorithm to solve the max-p-region problem |
| maxp_sa | A simulated annealing algorithm to solve the max-p-region... |
| maxp_tabu | A tabu-search algorithm to solve the max-p-region problem |
| median_absolute_deviation | Median absolute deviation |
| min_distthreshold | Get minimum threshold of distance that makes sure each... |
| natural_breaks | Natural Breaks (Jenks) |
| percentile_breaks | Percentile Breaks |
| p_GeoDa-class | p_GeoDa |
| p_GeoDaWeight-class | p_GeoDaWeight |
| p_LISA-class | p_LISA |
| quantile_breaks | Quantile Breaks |
| queen_weights | Create a Queen contiguity weights |
| random_string | random string |
| redcap | Regionalization with dynamically constrained agglomerative... |
| rook_weights | Create a Rook contiguity weights |
| save_weights | Save current spatial weights to a file |
| schc | Spatially Constrained Hierarchical Clucstering (SCHC) |
| sf_to_geoda | Create a geoda object from a sf object |
| skater | Spatial C(K)luster Analysis by Tree Edge Removal |
| spatial_lag | Compute the spatial lag for idx-th observation and selected... |
| sp_to_geoda | Create a geoda object from a sp object |
| standardize | Standardize Data (Z) |
| stddev_breaks | Standard Deviation Breaks |
| summary.Weight | Summary of Spatial Weights |
| total_sumofsquare | Total Sum of Square |
| Weight-class | Weight class (Internally Used) |
| weights_density | Density of a weights matrix |
| weights_sparsity | Sparsity of a weights matrix |
| within_sumofsquare | Within Sum of Square |
