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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 a tibble with a column for minimum temperature statistics (in °C).

Details

The required resources for this indicator are:

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)

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 10 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 × 11
#>    WDPAID NAME       DESIG_ENG ISO3  assetid indicator datetime   variable unit 
#>     <dbl> <chr>      <chr>     <chr>   <int> <chr>     <date>     <chr>    <chr>
#>  1 478140 Sierra de… National… DOM         1 temperat… 2018-01-01 worldcl… C    
#>  2 478140 Sierra de… National… DOM         1 temperat… 2018-01-01 worldcl… C    
#>  3 478140 Sierra de… National… DOM         1 temperat… 2018-02-01 worldcl… C    
#>  4 478140 Sierra de… National… DOM         1 temperat… 2018-02-01 worldcl… C    
#>  5 478140 Sierra de… National… DOM         1 temperat… 2018-03-01 worldcl… C    
#>  6 478140 Sierra de… National… DOM         1 temperat… 2018-03-01 worldcl… C    
#>  7 478140 Sierra de… National… DOM         1 temperat… 2018-04-01 worldcl… C    
#>  8 478140 Sierra de… National… DOM         1 temperat… 2018-04-01 worldcl… C    
#>  9 478140 Sierra de… National… DOM         1 temperat… 2018-05-01 worldcl… C    
#> 10 478140 Sierra de… National… DOM         1 temperat… 2018-05-01 worldcl… C    
#> # ℹ 14 more rows
#> # ℹ 2 more variables: value <dbl>, geom <POLYGON [°]>
# }