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Retrieve available population trend categories or species assessments for one or more trends.

Usage

rl_population_trends(
  code = NULL,
  year_published = NULL,
  latest = NULL,
  possibly_extinct = NULL,
  possibly_extinct_in_the_wild = NULL,
  scope_code = NULL,
  page = 1
)

Arguments

code

Character or Numeric. One or more population trend codes (0-3). Use rl_population_trends() to list available trend codes and definition.

year_published

Optional. Single or numeric vector of years to filter assessments by publication year.

latest

Optional. Logical. If TRUE, return only the latest assessment per species.

possibly_extinct

Optional. Logical. Filter for species flagged as possibly extinct.

possibly_extinct_in_the_wild

Optional. Logical. Filter for species possibly extinct in the wild.

scope_code

Optional. Integer One or more scope codes to filter assessments.

page

Optional. Integer vector. Specify one or more page numbers to fetch. If NULL or NA, all pages will be fetched automatically.

Value

A tibble (class tbl_df, tbl, data.frame) where each column represents a unique API response JSON key. If code = NULL, the tibble contains available population trend categories with columns such as code and description. If code is provided, the tibble contains assessment data for the specified trend(s), including population trend description, population trend code, year, latest, and other relevant metadata.

Details

This function has two modes:

  • If code = NULL, it returns a list of available population trend categories.

  • If code is provided, it retrieves assessments for the specified trend(s), optionally filtered by year, extinction status, scope, and page(s).

Population trends include: Increasing, Decreasing, Stable, or Unknown.

If page is not specified, the function will automatically paginate over all available pages for each parameter combination.

Examples

if (FALSE) { # \dontrun{
# List all available population trend categories
rl_population_trends()

# Retrieve assessments for species with decreasing populations
rl_population_trends(code = "1")

# Get latest decreasing population assessments from 2020
rl_population_trends(
  code = 2,
  year_published = 2020,
  latest = TRUE
)
} # }