Calculate minimum temperature statistics based on WorldClim

This function allows to efficiently calculate minimum temperature 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_temperature_min_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".

Value

A function that returns an indicator tibble with minimum temperature statistics as variables and corresponding values as value.

Details

The required resources for this indicator are:

• minimum temperature layer from worldclim_min_temperature

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

aoi
#> Simple feature collection with 24 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: 24 × 9
#>    WDPAID ISO3  assetid indicator       datetime            variable unit  value
#>     <dbl> <chr>   <int> <chr>           <dttm>              <chr>    <chr> <dbl>
#>  1 478140 DOM         1 temperature_mi… 2018-01-01 00:00:00 worldcl… C      10.1
#>  2 478140 DOM         1 temperature_mi… 2018-01-01 00:00:00 worldcl… C      10  
#>  3 478140 DOM         1 temperature_mi… 2018-02-01 00:00:00 worldcl… C      10.2
#>  4 478140 DOM         1 temperature_mi… 2018-02-01 00:00:00 worldcl… C      10  
#>  5 478140 DOM         1 temperature_mi… 2018-03-01 00:00:00 worldcl… C      10.1
#>  6 478140 DOM         1 temperature_mi… 2018-03-01 00:00:00 worldcl… C      10  
#>  7 478140 DOM         1 temperature_mi… 2018-04-01 00:00:00 worldcl… C      11.1
#>  8 478140 DOM         1 temperature_mi… 2018-04-01 00:00:00 worldcl… C      11  
#>  9 478140 DOM         1 temperature_mi… 2018-05-01 00:00:00 worldcl… C      12.6
#> 10 478140 DOM         1 temperature_mi… 2018-05-01 00:00:00 worldcl… C      13  
#> # ℹ 14 more rows
#> # ℹ 1 more variable: geom <POLYGON [°]>
# }