Learn R Programming

mapme.biodiversity (version 0.9.3)

precipitation_chirps: Calculate precipitation sums based on CHIRPS

Description

This functions allows to calculate precipitation sums based on the CHIRPS rainfall estimates. Corresponding to the time-frame of the analysis of the portfolio, monthly precipitation sums are calculated.

Usage

calc_precipitation_chirps(years = 1981:2020, engine = "extract")

Value

A function that returns an indicator tibble with variable precipitation and sum of precipitation (in mm) as value.

Arguments

years

A numeric vector indicating the years for which to calculate precipitation statistics.

engine

The preferred processing functions from either one of "zonal", "extract" or "exactextract" as character.

Details

The required resources for this indicator are:

  • chirps

Examples

Run this code
# \dontshow{
mapme.biodiversity:::.copy_resource_dir(file.path(tempdir(), "mapme-data"))
# }
if (FALSE) {
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_chirps(years = 2010)) %>%
  calc_indicators(
    calc_precipitation_chirps(
      years = 2010,
      engine = "extract"
    )
  ) %>%
  portfolio_long()

aoi
}

Run the code above in your browser using DataLab