Persistent-displacement and loop-area diagnostic

A descriptive composite, not proof of ecological memory. Slow relaxation, baseline drift and continuing forcing can also produce displacement.

Usage

rri_memory_index(
  rec,
  H_weight = 0.5,
  I_weight = 0.5,
  lag_weight = 0,
  normalise_inputs = FALSE
)

Arguments

rec

Recovery metric table.

H_weight, I_weight, lag_weight

Non-negative component weights.

normalise_inputs

FALSE uses bounded dimensionless H and I fractions; TRUE requests cohort-relative min-max scaling. Lag requires TRUE.

Value

Input with memory_index, memory_coverage and heuristic memory_class.

Examples

rec <- data.frame(H_hysteresis = c(0.1, 0.3, 0.05),
                  incomplete_return_frac = c(0.2, 0.4, 0.1))
rri_memory_index(rec)$memory_index
#> [1] 0.150 0.350 0.075