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GSW occurrence raw data comes in raster files with integer cell values between [0, 100]. This value gives the percentage of the time that a given pixel was classified as water during the entire observation period. So a 0 denotes a pixel that was never classified as water, 100 denotes a pixel with permanent water.

Usage

calc_gsw_occurrence(engine = "extract", min_occurrence = NULL)

Arguments

engine

The preferred processing functions from either one of "zonal", "extract" or "exactextract". Default: "extract".

min_occurrence

Threshold to define which pixels count towards the GSW occurrence area [0, 100].

Value

A function that returns an indicator tibble with occurrence as variable and the corresponding area (in ha) as value.

Details

The raw data values are aggregated based on a provided threshold parameter min_occurrence, the function returns the area covered by values greater or equal than this threshold.

The required resources for this indicator are:

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_global_surface_water_occurrence()) %>%
  calc_indicators(
    calc_gsw_occurrence(engine = "extract", min_occurrence = 10)
  ) %>%
  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 gsw_occu… 2021-01-01 00:00:00 gsw_occ…
#> # ℹ 3 more variables: unit <chr>, value <dbl>, geom <POLYGON [°]>
# }