Prepare selected data for interactive class distribution plot — prepare_selact_data_for

This function processes the network data and prepares it for plotting the class distribution across different scales (France, Basin, Region, and Axis). It applies filters, computes class shares, and generates color mappings.

Usage

prepare_selact_data_for_plot(
  data,
  classification_type = "classes",
  manual_classes_table = NULL,
  basin_id = NULL,
  region_id = NULL,
  strahler = 0,
  region_names = NULL,
  axis_data = NULL
)

Arguments

data: A dataframe containing classified network data with regional and axis information.
basin_id: Integer specifying the basin ID. Default is NULL.
region_id: Integer specifying the region ID. Default is NULL.
strahler: Integer for Strahler order. Default is 0.
region_names: Dataframe containing region names and corresponding IDs.
axis_data: Dataframe containing axis data (optional). Default is NULL.

Value

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

Examples

if (FALSE) { # \dontrun{
df <- prepare_selact_data_for_plot(data = classified_data, basin_id = 3, region_id = 1)
} # }