mapme.biodiversity (version 0.9.3)

gsw_time_series_indicator: Calculate Global Surface Water Time Series

Description

This function calculates the total area of the global surface water time series data, separated by the following classes:

Usage

calc_gsw_time_series()

Format

A function returning a tibble with time series of global surface water data classes.

Details

• No Observation: It was not possible to determine whether a pixel was water (this may be the case for frozen areas or during the polar night in extreme latitudes).

• Permanent Water: Water was detected in twelve months per year or in a combination of permanent and no observation.

• Seasonal Water: Water and no water was detected.

• No Water: No Water was detected.

The required resources for this indicator are:

• gsw_time_series_resource

Examples

# \dontshow{
mapme.biodiversity:::.copy_resource_dir(file.path(tempdir(), "mapme-data"))
outdir <- file.path(tempdir(), "mapme-data")
path_gsw_ts <- file.path(outdir, "gsw_time_series")
gsw_fnames_short <- dir(path_gsw_ts, pattern = ".tif$")
gsw_fnames_long <- sub("v5_", "VER5-0_yearlyClassification", gsw_fnames_short)

invisible(file.copy(
   file.path(path_gsw_ts, gsw_fnames_short),
   file.path(path_gsw_ts, gsw_fnames_long)
))
# }
if (FALSE) {
library(mapme.biodiversity)
library(sf)

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

mapme_options(
  outdir = outdir,
  verbose = FALSE
)

aoi <- read_sf(
  system.file("extdata", "shell_beach_protected_area_41057_B.gpkg",
              package = "mapme.biodiversity"
))
aoi <- get_resources(aoi, get_gsw_time_series (years = 2000:2001))
aoi <- calc_indicators(aoi, calc_gsw_time_series())
aoi <- portfolio_long(aoi)

aoi
}