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Build a transition data frame for alluvial plots

transition_data.Rd

Takes per-cell type labels (from leading_species() or community_label()), pivots to wide form, counts unique label-path combinations across all snapshots, and converts to the lodes (long) form required by ggalluvial::geom_alluvium().

Usage

transition_data(label_df, times)

Arguments

label_df

tibble or data.frame with columns scenario, replicate, Time, row, column, label – as returned by leading_species() or community_label().

times

Integer vector of snapshot years to include, in order. All values must be present in label_df$Time.

Value

A tibble in lodes form with columns alluvium, x, stratum, y compatible with ggalluvial::geom_alluvium():

  • alluvium – integer ID for the flow path

  • x – year (from times)

  • stratum – vegetation type label at that year

  • y – mean number of cells (averaged across replicates) following this path

Details

Counts are averaged across replicates so that the diagram represents the mean landscape behaviour.

See also

Other Vegetation transition helpers: biomass_landscape_summary(), community_label(), leading_species(), plot_species_biomass(), plot_transitions(), read_biomass_c_snapshots(), read_biomass_output_rasters()