spatialize_lsm {landscapemetrics} | R Documentation |
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),
...
)
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. |
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 |
Details
The functions returns a nested list with RasterLayer
s. 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
.
Value
list
See Also
Examples
landscape <- terra::rast(landscapemetrics::landscape)
p_area_raster <- spatialize_lsm(landscape, what = "lsm_p_area")
terra::plot(p_area_raster[[1]][[1]])