spatialize_lsm: spatialize_lsm

Description

Spatialize landscape metric values

Usage

spatialize_lsm(
  landscape,
  level = "patch",
  metric = NULL,
  name = NULL,
  type = NULL,
  what = NULL,
  directions = 8,
  progress = FALSE,
  to_disk = getOption("to_disk", default = FALSE),
  ...
)

Value

list

Arguments

landscape: A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
level: Level of metrics. Either 'patch', 'class' or 'landscape' (or vector with combination).
metric: Abbreviation of metrics (e.g. 'area').
name: Full name of metrics (e.g. 'core area')
type: Type according to FRAGSTATS grouping (e.g. 'aggregation metrics').
what: Selected level of metrics: either "patch", "class" or "landscape". It is also possible to specify functions as a vector of strings, e.g. what = c("lsm_c_ca", "lsm_l_ta").
directions: The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
progress: Print progress report.
to_disk: If TRUE raster will be saved to disk.
...: Arguments passed on to calculate_lsm().

Details

The functions returns a nested list with RasterLayers. The first level contains each input layer (only one element if RasterLayer was provided). The second level contains a RasterLayer for each selected metric (see list_lsm for details) where each cell has the landscape metric value of the patch it belongs to. Only patch level metrics are allowed.

For all metrics based on distances or areas please make sure your data is valid using check_landscape.

Examples

Run this code

landscape <- terra::rast(landscapemetrics::landscape)
p_area_raster <- spatialize_lsm(landscape, what = "lsm_p_area")
terra::plot(p_area_raster[[1]][[1]])