Man pages for tgoodbody/sgsR
Structurally Guided Sampling

allocating	Allocating strata: 'existing'
calculate_allocation	Sample allocation type and count
calculate_allocation_existing	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
check_existing	Check existing sample data against requirements
coords_existing	Get existing and XY coordinates
extract_metrics	Extract metrics
extract_strata	Extract strata
masking	Masking
matrices	Matrices
plot	Plot
prepare_existing	Prepare existing sample data
rules	Sampling rules
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_existing_balanced	Sample Existing Data Using Balanced Sampling
sample_existing_clhs	Sub-sample using the conditional Latin hypercube sampling...
sample_existing_srs	Randomly sample from an existing dataset
sample_existing_strat	Sample Existing Data Based on Strata
sample_nc	Nearest centroid (NC) sampling
sample_srs	Simple random sampling
sample_strat	Stratified sampling
sample_sys_strat	Systematic stratified sampling
sample_systematic	Systematic sampling
sgsR-package	sgsR: Structurally Guided 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
take_samples	Take Samples Based on Strata
vectorize	Vectorization helpers
write	Write