Function reference • DeltaMultipleBenefits

All functions

calc_change_SDM(): Calculate the difference between predictions of species presence for a baseline and scenario landscape

create_directory(): create_directory

fit_SDM(): Apply species distribution models to new landscapes.

key: Land cover classification scheme for the DeltaMultipleBenefits framework

metrics: Metrics by land cover class and benefits category

python_dist(): Calculate Euclidean distance via Python

python_focal_finalize(): Final processing of focal stats for SDMs

python_focal_prep(): Prepare landscape rasters for focal statistics via Python

python_focal_run(): Run focal statistics via Python

reclassify_landcover(): Reclassify landscape rasters by SDM

roosts_original: Traditional nighttime crane roost locations

sum_change(): Summarize net change between scenario and baseline landscapes

sum_habitat(): Summarize total habitat scores

sum_landcover(): Summarize total area of land cover classes

sum_metrics(): Summarize total metric scores

transform_SDM(): Transform predictions from species distribution models to binary

update_covertype(): Update waterbird predictors: covertype

update_pwater(): Update waterbird predictors: pwater & pfld

update_roosts(): Update waterbird predictors: crane roost locations