Calculate precipitation sums based on CHIRPS — precipitation

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")

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.

Value

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

Details

The required resources for this indicator are:

chirps

Examples

# \dontrun{
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()
#> Error in httr2::req_perform(httr2::request(chirps_url)) : 
#>   Failed to perform HTTP request.
#> Caused by error in `curl::curl_fetch_memory()`:
#> ! Timeout was reached [data.chc.ucsb.edu]: SSL connection timeout
#> Error in .check_footprints(resource, resource_name): Download for resource chirps failed.
#> Returning unmodified portfolio.

aoi
#> Error: object 'aoi' not found
# }