Land-cover time series for one assessed species (EOO or AOO) — timeseries_for

Convenience wrapper that pulls the stored EOO hull or AOO geometry from an assessment and runs cover_timeseries on it, reusing the assessment's collection and backend by default.

Usage

timeseries_for_species(
  assessment,
  species = NULL,
  range = c("eoo", "aoo"),
  years = NULL,
  by = c("class", "group"),
  src = NULL,
  verbose = TRUE,
  max_pixels = 8e+06
)

Arguments

assessment: A geoconv_assessment from assess_species.
species: Species name (default: first assessed species).
range: "eoo" (default) or "aoo".
years, by, src, verbose: Passed to cover_timeseries.
max_pixels: Pixel budget per year, passed to cover_timeseries. Defaults to 8e6 (~8 million) - much lower than the single-snapshot assessment, because a composition trend is a ratio and needs far less resolution, and every year is a separate read: the coarser budget makes a multi-year series over a large range several times faster with no meaningful change to the percentages.

Value

The long data frame from cover_timeseries, with attributes species and range set.