Run the Feature Climate-Smart Approach

splnr_climate_featureApproach() implements the Feature Approach to climate-smart conservation planning by defining a global climate-smart layer and adjusting targets to ensure a specified proportion of that layer is captured.

Usage

splnr_climate_featureApproach(
  features,
  metric,
  targets,
  direction,
  percentile = 35,
  refugiaTarget = 0.3
)

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.

refugiaTarget

Numeric (0-1). Defaults to 0.3.

Value

A list with:

• Features: sf object with original features plus climate_layer.

• Targets: data.frame with adjusted targets including climate_layer.

Details

This function orchestrates two steps:

1. Preprocessing via splnr_climate_feature_preprocess().

2. Target Assignment via splnr_climate_feature_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)

Feature_result <- splnr_climate_featureApproach(
  features      = dat_species_bin,
  metric        = dat_clim,
  targets       = initial_targets,
  direction     = 1,
  percentile    = 35,
  refugiaTarget = 0.3
)
out_sf_feature  <- Feature_result$Features
targets_feature <- Feature_result$Targets
} # }