Prepare region-level data for interactive class distribution plot

This function processes the network data at the region level, preparing it for plotting the class distribution for specific regions. It filters data, calculates shares, and renames region scales based on the provided region names.

Usage

prepare_regions_data_for_plot(
  data,
  classification_type = "classes",
  manual_classes_table = NULL,
  region_id = NULL,
  region_strahler = 0,
  region_names = NULL
)

Arguments

data

A dataframe containing classified network data.

region_id

Integer specifying the region ID. Default is NULL.

region_strahler

Integer for Strahler order of the region. Default is 0.

region_names

Dataframe containing region names and corresponding IDs.

Value

A prepared dataframe with class distribution percentages and color mappings for plotting.

Examples

if (FALSE) { # \dontrun{
df <- prepare_regions_data_for_plot(data = classified_data, region_id = 1, region_names = region_names_df)
} # }