lsm_l_ent

Calculates landscape metrics for categorical landscape patterns in
a tidy workflow. 'landscapemetrics' reimplements the most common metrics from
'FRAGSTATS' (<https://www.umass.edu/landeco/>)
and new ones from the current literature on landscape metrics.
This package supports 'raster' spatial objects and takes
RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the
'raster' package as input arguments. It further provides utility functions
to visualize patches, select metrics and building blocks to develop new
metrics.

Maximillian H.K. Hesselbarth

landscapemetrics

Landscape Metrics for Categorical Map Patterns

Maximilian H.K. Hesselbarth

Marco Sciaini

Jakub Nowosad

Sebastian Hanss

Laura J. Graham

Jeffrey Hollister

Kimberly A. With

Florian Privé

Project Nayuki 

Matt Strimas-Mackey

lsm_l_ent function

<dl><dt>landscape</dt>
<dd>Raster* Layer, Stack, Brick, SpatRaster (terra), stars, or a list of rasterLayers.</dd>
<dt>neighbourhood</dt>
<dd>The number of directions in which cell adjacencies are considered as neighbours:
4 (rook's case) or 8 (queen's case). The default is 4.</dd>
<dt>base</dt>
<dd>The unit in which entropy is measured.
The default is "log2", which compute entropy in "bits".
"log" and "log10" can be also used.</dd></dl>

Arguments

ENT (landscape level) — lsm_l_ent

<dl>

<dt>landscape</dt>
<dd>Raster* Layer, Stack, Brick, SpatRaster (terra), stars, or a list of rasterLayers.</dd>


<dt>neighbourhood</dt>
<dd>The number of directions in which cell adjacencies are considered as neighbours:
4 (rook's case) or 8 (queen's case). The default is 4.</dd>


<dt>base</dt>
<dd>The unit in which entropy is measured.
The default is "log2", which compute entropy in "bits".
"log" and "log10" can be also used.</dd>

</dl>

ENT (landscape level)

lsm_l_ent: ENT (landscape level)

Description

Usage

Value

Arguments

Details

References

See Also

Examples