
Tabulate the cohorts the structure factorial actually simulated
growth_structure_cohort_table.RdWhat was run, rather than what it produced: one row per composition, with the cells behind it, the cohort ages it started from, and where its carbon ends up. This is the companion to the trajectory figures, which show shape but not how much evidence sits under each panel or what the stands were.
Arguments
- cells
A tibble from
growth_structure_cell_curves().- curves
Optional tibble as passed to
growth_structure_cell_curves(), carryingspeciesandcohort_age. When given, the cohort-age range of each composition is reported; without it those columns are omitted.
Details
Reported per variant where the runs carry one, since the variants are different experiments over the same design.
age_start and age_end are SIMULATION years, and the cohort ages are the
ages the initial-communities map gave those cohorts at year 0 – so a
composition can begin the run already near its plateau.
See also
Other growth calibration helpers:
extract_landscape_cohort_structures(),
growth_add_objective(),
growth_auto_window(),
growth_best_candidates(),
growth_bin_observations(),
growth_calibration_design(),
growth_calibration_partition(),
growth_calibration_work_root(),
growth_climatic_distance(),
growth_climatic_weight(),
growth_expand_over_pseudo_species(),
growth_factorial_ratio_grid(),
growth_fitting_windows(),
growth_identifiability(),
growth_inflation_factor(),
growth_mortality_onset_frac(),
growth_plot_palette(),
growth_pseudo_species_name(),
growth_reference_curves(),
growth_reference_inflection(),
growth_score_fit(),
growth_scoring_for(),
growth_smooth_observations(),
growth_structure_cell_curves(),
growth_structure_design(),
growth_structure_summary(),
growth_window_for(),
plot_growth_calibration(),
plot_growth_candidate(),
plot_growth_factorial_sensitivity(),
plot_growth_structures(),
read_growth_scoring(),
read_landscape_cohort_structures(),
scale_linetype_growth_reference(),
write_growth_review_bundle()