precipitation_wc {mapme.biodiversity}

Calculate precipitation statistics

Description

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.

Usage

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".

Details

The required resources for this indicator are:

• precipitation layer from worldclim_precipitation

Value

A function that returns an indicator tibble with precipition statistics as variable 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_precipitation(years = 2018)) %>%
  calc_indicators(
    calc_precipitation_wc(
      engine = "extract",
      stats = c("mean", "median")
    )
  ) %>%
  portfolio_long()

aoi

## End(Not run)