window_lsm: window_lsm

In r-spatialecology/landscapemetrics: Landscape Metrics for Categorical Map Patterns

window_lsm

Description

Moving window

Usage

window_lsm(
  landscape,
  window,
  level = "landscape",
  metric = NULL,
  name = NULL,
  type = NULL,
  what = NULL,
  progress = FALSE,
  ...
)

Arguments

landscape	A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
window	Moving window matrix.
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").
progress	Print progress report.
...	Arguments passed on to calculate_lsm().

Details

The function calculates for each focal cell the selected landscape metrics (currently only landscape level metrics are allowed) for a local neighbourhood. The neighbourhood can be specified using a matrix. For more details, see ?terra::focal(). The result will be a RasterLayer in which each focal cell includes the value of its neighbourhood and thereby allows to show gradients and variability in the landscape (Hagen-Zanker 2016). To be type stable, the actual result is always a nested list (first level for RasterStack layers, second level for selected landscape metrics).

Note, that in situations when the moving window does not contain any patches, the result is NA.

Value

list

References

Fletcher, R., Fortin, M.-J. 2018. Spatial Ecology and Conservation Modeling: Applications with R. Springer International Publishing. 523 pages

Hagen-Zanker, A. (2016). A computational framework for generalized moving windows and its application to landscape pattern analysis. International journal of applied earth observation and geoinformation, 44, 205-216.

McGarigal K., SA Cushman, and E Ene. 2023. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical Maps. Computer software program produced by the authors; available at the following web site: https://www.fragstats.org

See Also

list_lsm
calculate_lsm
focal

Examples

## Not run: 
landscape <- terra::rast(landscapemetrics::landscape)
landscape_stack <- c(landscape, landscape)
window <- matrix(1, nrow = 5,ncol = 5)
window_lsm(landscape, window = window, what = c("lsm_l_pr", "lsm_l_joinent"))
window_lsm(landscape_stack, window = window, what = c("lsm_l_pr", "lsm_l_joinent"))

window_circular <- matrix(c(NA, 1, NA, 1, 1, 1, NA, 1, NA), nrow = 3, ncol = 3)
window_lsm(landscape, window = window_circular, what = c("lsm_l_pr", "lsm_l_joinent"))

## End(Not run)

r-spatialecology/landscapemetrics documentation built on April 3, 2024, 2:21 a.m.