patch

datasets

Spatial structural diversity refers to the spatial, i.e.
horizontal arrangement of landscape elements and can reveal itself as
landscape features, such as patches and linear features. The 'R' package
'StrucDiv' provides methods to quantify spatial structural diversity
in continuous remote sensing data, or in other data in raster format.
Structure is based on the spatial arrangement of value pairs. The 'R' package 'StrucDiv'
includes methods to combine information from different spatial scales, which allows to quantify
multi-scale spatial structural diversity.

Leila Schuh

StrucDiv

Spatial Structural Diversity Quantification in Raster Data

Reinhard Furrer

Kalina Cherneva

Kirill Müller

Patrick Schratz

University Research Priority Progam Global Change and Biodiversity of the University of Zurich 

patch function

A matrix with 90 rows and 90 columns. Simulated patches.
<dl>
<dt><code>Simulated random patches</code></dt>
<dd>The background is random structure, depicting no spatial correlation, and structure is also random within patches.</dd><dt><code>Value range</code></dt>
<dd>Data contains 20 gray levels.</dd>
</dl>

Format

simulated patch data — patch

A matrix with 90 rows and 90 columns. Simulated patches.
<dl>
<dt><code>Simulated random patches</code></dt>
<dd>The background is random structure, depicting no spatial correlation, and structure is also random within patches.</dd>

<dt><code>Value range</code></dt>
<dd>Data contains 20 gray levels.</dd>


</dl>

simulated patch data

patch: simulated patch data

Description

Usage

Arguments

Format