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spatialize_lsm

Source: R/spatialize_lsm.R
spatialize_lsm.Rd

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. 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().

Value

list

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.

See also

list_lsm
show_lsm

Examples

landscape <- terra::rast(landscapemetrics::landscape)
spatialize_lsm(landscape, what = "lsm_p_area")
#> Warning: Please use 'check_landscape()' to ensure the input data is valid.
#> $layer_1
#> $layer_1$lsm_p_area
#> class       : SpatRaster 
#> dimensions  : 30, 30, 1  (nrow, ncol, nlyr)
#> resolution  : 1, 1  (x, y)
#> extent      : 0, 30, 0, 30  (xmin, xmax, ymin, ymax)
#> coord. ref. :  
#> source(s)   : memory
#> name        :  value 
#> min value   : 0.0001 
#> max value   : 0.0159 
#> 
#>