humanfootprint_indicator: Calculate human footprint statistics

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

Calculate human footprint statistics

Description

Human footprint data measures the pressure imposed on the natural environment by different dimensions of human actions. The theoretical maximum value, representing the highest level of human pressure, is 50. This routine allows to extract zonal statistics of the human footprint data.

Usage

calc_humanfootprint(engine = "extract", stats = "mean")

Arguments

engine	The preferred processing functions from either one of "zonal", "extract" or "exactextract" as character.
stats	Function to be applied to compute statistics for polygons either one or multiple inputs as character. Supported statistics are: "mean", "median", "sd", "min", "max", "sum" "var".

Details

The required resources for this indicator are:

• humanfootprint_resource

Value

A function that returns an indicator tibble the humanfootprint as variable and the associated value (unitless) per year.

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", "shell_beach_protected_area_41057_B.gpkg",
  package = "mapme.biodiversity"
) %>%
  read_sf() %>%
  get_resources(get_humanfootprint(years = 2010)) %>%
  calc_indicators(calc_humanfootprint(stats = "median")) %>%
  portfolio_long()

aoi

## End(Not run)

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