This function allows to efficiently calculate elevation statistics for polygons. For each polygon, the desired statistic/s (mean, median or sd) is/are returned. The required resources for this indicator are:
Details
The following arguments can be set:
- stats_elevation
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".
- engine
The preferred processing functions from either one of "zonal", "extract" or "exactextract" as character.
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)
aoi <- system.file("extdata", "sierra_de_neiba_478140_2.gpkg",
package = "mapme.biodiversity"
) %>%
read_sf() %>%
init_portfolio(
years = 2000:2020,
outdir = outdir,
tmpdir = tempdir(),
add_resources = FALSE,
verbose = FALSE
) %>%
get_resources("nasa_srtm") %>%
calc_indicators("elevation",
stats_elevation = c("mean", "median", "sd", "var"), engine = "extract"
) %>%
tidyr::unnest(elevation)
aoi
#> Simple feature collection with 1 feature and 9 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: 1 × 10
#> WDPAID NAME DESIG_ENG ISO3 assetid elevation_mean elevation_median
#> <dbl> <chr> <chr> <chr> <int> <dbl> <dbl>
#> 1 478140 Sierra de Neiba National… DOM 1 1704. 1702
#> # ℹ 3 more variables: elevation_sd <dbl>, elevation_var <dbl>,
#> # geom <POLYGON [°]>
# }