Structurally Guided Sampling
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Documentation for package ‘sgsR’ version 1.4.5
Help Pages
| calculate_allocation | Sample allocation type and count |
| calculate_coobs | coobs algorithm sampling |
| calculate_distance | Distance to access layer |
| calculate_lhsOpt | Analyze optimal Latin hypercube sample number |
| calculate_pcomp | Raster principal components |
| calculate_pop | Population descriptors |
| calculate_representation | Compare sample representation within sraster strata |
| calculate_sampsize | Sample size determination |
| extract_metrics | Extract metrics |
| extract_strata | Extract strata |
| sample_ahels | Adapted Hypercube Evaluation of a Legacy Sample (ahels) |
| sample_balanced | Balanced sampling |
| sample_clhs | Conditioned Latin Hypercube Sampling |
| sample_existing | Sample existing |
| sample_nc | Nearest centroid (NC) sampling |
| sample_srs | Simple random sampling |
| sample_strat | Stratified sampling |
| sample_systematic | Systematic sampling |
| sample_sys_strat | Systematic stratified sampling |
| strat_breaks | Breaks stratification |
| strat_kmeans | k-means stratification |
| strat_map | Map a raster stack of a list of rasters |
| strat_poly | Stratify using polygons |
| strat_quantiles | Quantiles stratification |