treecover_area_and_emissions: Calculate treeloss statistics

In mapme-initiative/mapme.biodiversity: Efficient Monitoring of Global Biodiversity Portfolios

Calculate treeloss statistics

Description

This functions allows to efficiently calculate the treecover and emissions indicators in a single function call together. Since most of the pre-processing operations for treecover and emissions are the same, it is more efficient to calculate them in one run if users are actually interested in both statistics. Otherwise users are advised to use the respective single indicator functions.

Usage

calc_treecover_area_and_emissions(
  years = 2000:2023,
  min_size = 10,
  min_cover = 35
)

Arguments

years	A numeric vector with the years for which to calculate treecover area and emissions.
min_size	The minimum size of a forest patch in ha.
min_cover	The minimum threshold of stand density for a pixel to be considered forest in the year 2000.

Details

The required resources for this indicator are:

• gfw_treecover

• gfw_lossyear

• gfw_emissions

Value

A function that returns an indicator tibble with variables treecover and emissions and corresponding values (in ha and Mg) as value.

Examples

## Not run: 
library(sf)
library(mapme.biodiversity)

outdir <- file.path(tempdir(), "mapme-data")
dir.create(outdir, showWarnings = FALSE)

mapme_options(
  outdir = outdir,
  verbose = FALSE
)

aoi <- system.file("extdata", "sierra_de_neiba_478140_2.gpkg",
  package = "mapme.biodiversity"
) %>%
  read_sf() %>%
  get_resources(
    get_gfw_treecover(version = "GFC-2023-v1.11"),
    get_gfw_lossyear(version = "GFC-2023-v1.11"),
    get_gfw_emissions()
  ) %>%
  calc_indicators(
    calc_treecover_area_and_emissions(years = 2016:2017, min_size = 1, min_cover = 30)
  ) %>%
  portfolio_long()

aoi

## End(Not run)

mapme-initiative/mapme.biodiversity documentation built on April 5, 2025, 12:47 p.m.