Man pages for suvedimukti/stdcab
Spatial Thinning, Dependency, Clustering, And Blocking of Point Data for Classification Problems
| create_hexagon | Create Hexagons |
| fit_multiple_variogram | Fitting Multiple Variograms |
| fit_variogram | Variogram Fitting on Quantitative Data |
| generate_random_class | A function to create random multiclass data. This function... |
| landcover | Land Use Land Cover (LULC) Data for Classification Problem |
| optimal_kmeans_cluster | Optimal K-means Clustering |
| pipe | Pipe operator |
| plot_multiple_variogram | Plotting Multiple Variograms |
| plot_variogram | Plot Single Sevariance Model |
| repeated_spatial_cluster_sample | Repeated Spatial Clustering of Point Data for Tidy Modeling |
| rotate_features | Rotate Features |
| spatial_cluster_sample | Spatial Clustering of Points Data for Tidy-modeling |
| spatial_hexgrid_sample | Spatial Hexagonal Grid Sampling |
| spatial_quadgrid_sample | Spatial Quadgrid Sampling |
| spatial_thinning_class | Spatial thinning of multi claass point data |
| stdcab-package | stdcab: Spatial Thinning, Dependency, Clustering, And... |
