Calculate human footprint statistics

Human footprint data measures the pressure imposed on the natural environment by different dimensions of human actions. The theoretical maximum value, representing the highest level of human pressure, is 50. This routine allows to extract zonal statistics of the human footprint data.

Usage

calc_humanfootprint(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 one or multiple inputs as character. Supported statistics are: "mean", "median", "sd", "min", "max", "sum" "var".

Value

A function that returns an indicator tibble the humanfootprint as variable and the associated value (unitless) per year.

Details

The required resources for this indicator are:

• humanfootprint_resource

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", "shell_beach_protected_area_41057_B.gpkg",
  package = "mapme.biodiversity"
) %>%
  read_sf() %>%
  get_resources(get_humanfootprint(years = 2010)) %>%
  calc_indicators(calc_humanfootprint(stats = "median")) %>%
  portfolio_long()

aoi
#> Simple feature collection with 1 feature and 10 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -59.84866 ymin: 8.307999 xmax: -59.71 ymax: 8.364002
#> Geodetic CRS:  WGS 84
#> # A tibble: 1 × 11
#>   WDPAID NAME     DESIG_ENG ISO3  assetid indicator datetime            variable
#>    <dbl> <chr>    <chr>     <chr>   <int> <chr>     <dttm>              <chr>   
#> 1  41057 Shell B… Managed … GUY         1 humanfoo… 2010-01-01 00:00:00 humanfo…
#> # ℹ 3 more variables: unit <chr>, value <dbl>, geom <POLYGON [°]>
# }