temperature_min_wc: Calculate minimum temperature statistics based on WorldClim

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

Calculate minimum temperature statistics based on WorldClim

Description

This function allows to efficiently calculate minimum temperature statistics from Worldclim for polygons. For each polygon, the desired statistic/s (min, max, sum, mean, median, sd or var) is/are returned.

Usage

calc_temperature_min_wc(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 single or multiple inputs as character. Supported statistics are: "mean", "median", "sd", "min", "max", "sum" "var".

Details

The required resources for this indicator are:

• minimum temperature layer from worldclim_min_temperature

Value

A function that returns an indicator tibble with minimum temperature statistics as variables and corresponding values 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_worldclim_min_temperature(years = 2018)) %>%
  calc_indicators(
    calc_temperature_min_wc(
      engine = "extract",
      stats = c("mean", "median")
    )
  ) %>%
  portfolio_long()

aoi

## End(Not run)

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