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scale_window

scale_window

Description

Metrics on changing sample scale

Usage

scale_window(
  landscape,
  percentages_col,
  percentages_row,
  what,
  stat,
  verbose,
  progress,
  ...
)

## S3 method for class 'RasterLayer'
scale_window(
  landscape,
  percentages_col = c(2, 4, 8, 16, 32, 64, 100),
  percentages_row = NULL,
  what,
  stat,
  verbose = TRUE,
  progress = FALSE,
  ...
)

## S3 method for class 'RasterStack'
scale_window(
  landscape,
  percentages_col = c(2, 4, 8, 16, 32, 64, 100),
  percentages_row = NULL,
  what,
  stat,
  verbose = TRUE,
  progress = FALSE,
  ...
)

## S3 method for class 'RasterBrick'
scale_window(
  landscape,
  percentages_col = NULL,
  percentages_row = NULL,
  what,
  stat,
  verbose = TRUE,
  progress = FALSE,
  ...
)

## S3 method for class 'stars'
scale_window(
  landscape,
  percentages_col = NULL,
  percentages_row = NULL,
  what,
  stat,
  verbose = TRUE,
  progress = FALSE,
  ...
)

## S3 method for class 'list'
scale_window(
  landscape,
  percentages_col = NULL,
  percentages_row = NULL,
  what,
  stat,
  verbose = TRUE,
  progress = FALSE,
  ...
)

Arguments

landscape

Raster* Layer, Stack, Brick, SpatRaster (terra), stars, or a list of rasterLayers.
percentages_col

2-column matrix with coordinates or SpatialPoints.
percentages_row

String specifying plot shape. Either "circle" or "square"
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_l_mutinf", "lsm_l_ta").
stat

The function to be applied. See Details
verbose

If TRUE, warnings are printed.
progress

Print progress report.
...

Arguments passed on to calculate_lsm().

Details

This function calculates the selected metrics in moving windows over the provided landscape.

Please be aware that the output is sligthly different to all other lsm-function of landscapemetrics.

The metrics can be specified by the arguments what, level, metric, name and/or type (combinations of different arguments are possible (e.g. level = "class", type = "aggregation metric"). If an argument is not provided, automatically all possibilities are selected. Only metrics on landscape level are supported for this function.

Value

tibble

See Also

Examples

## Not run: 
percentages_col <- c(2, 4, 8, 16, 32, 64, 100)
percentages_row <- c(2, 4, 8, 16, 32, 64, 100)

what =  c("lsm_l_pr", "lsm_l_joinent")

stat <- "mean"

scale_window(landscape, percentages_col, percentages_row, what, stat)

## End(Not run)
landscapemetrics

Landscape Metrics for Categorical Map Patterns

v1.5.2
GPL-3
Authors
Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>), Laura J. Graham [ctb] (Input on package structure), Jeffrey Hollister [ctb] (Input on package structure), Kimberly A. With [ctb] (Input on package structure), Florian Privé [ctb] (Original author of underlying C++ code for get_nearestneighbour() function), Project Nayuki [ctb] (Original author of underlying C++ code for get_circumscribingcircle and lsm_p_circle), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Initial release

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