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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. The required resources for this indicator are:

Format

A tibble with a column for precipitation statistics (in mm)

Details

The following arguments can be set:

stats_worldclim

Function to be applied to compute statistics for polygons either one or multiple inputs as character. Supported statistics are: "mean", "median", "sd", "min", "max", "sum" "var".

engine

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

Examples

# \dontshow{
mapme.biodiversity:::.copy_resource_dir(file.path(tempdir(), "mapme-data"))
# }
# \dontrun{
library(sf)
library(mapme.biodiversity)

outdir <- file.path(tempdir(), "mapme-data")
dir.create(outdir, showWarnings = FALSE)


aoi <- system.file("extdata", "sierra_de_neiba_478140_2.gpkg",
  package = "mapme.biodiversity"
) %>%
  read_sf() %>%
  init_portfolio(
    years = 2018,
    outdir = outdir,
    tmpdir = tempdir(),
    verbose = FALSE
  ) %>%
  get_resources("worldclim_precipitation") %>%
  calc_indicators("precipitation_wc",
    stats_worldclim = c("mean", "median"),
    engine = "extract"
  ) %>%
  tidyr::unnest(precipitation_wc)

aoi
#> Simple feature collection with 12 features and 8 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -71.80933 ymin: 18.57668 xmax: -71.33201 ymax: 18.69931
#> Geodetic CRS:  WGS 84
#> # A tibble: 12 × 9
#>    WDPAID NAME          DESIG_ENG ISO3  assetid prec_mean prec_median date      
#>     <dbl> <chr>         <chr>     <chr>   <int>     <dbl>       <dbl> <date>    
#>  1 478140 Sierra de Ne… National… DOM         1      26.9        26.8 2018-01-01
#>  2 478140 Sierra de Ne… National… DOM         1      26.3        26.6 2018-02-01
#>  3 478140 Sierra de Ne… National… DOM         1      66.8        68.8 2018-03-01
#>  4 478140 Sierra de Ne… National… DOM         1      81.8        81.9 2018-04-01
#>  5 478140 Sierra de Ne… National… DOM         1     327.        336.  2018-05-01
#>  6 478140 Sierra de Ne… National… DOM         1      76.0        77.5 2018-06-01
#>  7 478140 Sierra de Ne… National… DOM         1      98.9        98.5 2018-07-01
#>  8 478140 Sierra de Ne… National… DOM         1     106.        108.  2018-08-01
#>  9 478140 Sierra de Ne… National… DOM         1     214.        217.  2018-09-01
#> 10 478140 Sierra de Ne… National… DOM         1     165.        174.  2018-10-01
#> 11 478140 Sierra de Ne… National… DOM         1      60.7        61.9 2018-11-01
#> 12 478140 Sierra de Ne… National… DOM         1      24.9        26.5 2018-12-01
#> # ℹ 1 more variable: geom <POLYGON [°]>
# }