Function reference • sgsR

Stratification functions

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

Sampling functions

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_sys_strat(): Systematic stratified sampling

sample_systematic(): Systematic sampling

Calculating functions

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 functions

extract_metrics(): Extract metrics

extract_strata(): Extract strata