Run the Percentile Climate-Smart Approach

splnr_climate_percentileApproach() implements the Percentile Approach to climate-smart conservation planning by filtering features to their most climate-resilient areas and adjusting targets accordingly.

Usage

splnr_climate_percentileApproach(
  features,
  metric,
  targets,
  direction,
  percentile = 35
)

Arguments

features

An sf object of conservation features.

metric

An sf object with a column named metric.

targets

A data.frame with columns feature and target.

direction

1 or -1.

percentile

Numeric (0-100). Defaults to 35.

Value

A list with:

• Features: sf object filtered to climate-smart occurrences.

• Targets: data.frame with adjusted targets.

Details

This function orchestrates two steps:

1. Preprocessing via splnr_climate_percentile_preprocess().

2. Target Assignment via splnr_climate_percentile_assignTargets().

Examples

if (FALSE) { # \dontrun{
initial_targets <- dat_species_bin %>%
  sf::st_drop_geometry() %>%
  colnames() %>%
  data.frame() %>%
  setNames(c("feature")) %>%
  dplyr::mutate(target = 0.3)

Percentile_result <- splnr_climate_percentileApproach(
  features   = dat_species_bin,
  metric     = dat_clim,
  targets    = initial_targets,
  direction  = 1,
  percentile = 35
)
out_sf_percentile  <- Percentile_result$Features
targets_percentile <- Percentile_result$Targets
} # }