R: Structurally Guided Sampling

# Structurally Guided Sampling

## Documentation for package ‘sgsR’ version 1.5.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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