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Score each observation by climatic distance from a target

growth_climatic_distance.Rd

Ground plots from a wider area can inform a calibration, but only in proportion to how much their climate resembles the landscape being modelled. This scores each observation individually, which is the point: aggregating plots into map units first and comparing unit means makes the comparison only as reliable as the thinnest unit, and map units carrying a handful of plots get estimates too noisy to rank.

Usage

growth_climatic_distance(climate, target, vars = names(target), scale = NULL)

Arguments

climate

A data frame with one row per observation and one column per climate variable.

target

Named numeric vector giving the target climate.

vars

Character. Variables to compare on; defaults to the names of target.

scale

Optional named numeric vector of per-variable spreads. Defaults to each variable's standard deviation across climate.

Value

A numeric vector of distances, one per row of climate.

Details

Distance is the root-mean-square deviation across variables after standardizing each by its spread, so that a variable measured in millimetres does not swamp one measured in degrees.

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_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_cohort_table(), 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()