precipitation_wc function

Calculate precipitation statistics

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

calc_precipitation_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".

Returns

A function that returns an indicator tibble with precipition statistics as variable and corresponding values as value.

Details

The required resources for this indicator are:

• precipitation layer from worldclim_precipitation

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_precipitation(years = 2018)) %>%
  calc_indicators(
    calc_precipitation_wc(
      engine = "extract",
      stats = c("mean", "median")
    )
  ) %>%
  portfolio_long()

aoi
## End(Not run)