(This article was first published on

** » R**, and kindly contributed to

R-bloggers)
**01.02.2012**

Landscape metrics were developed to analyze spatial patterns of landscapes (e.g. composition and spatial arrangement). In R it is possible to calculate these metrics with the “SDMTools” package. Bio7 offers an easy to use interface to R and ImageJ and can use these tools to simplify a workflow to analyze image data (e.g. vegetation data) with landscape metrics. A typical workflow would include to cluster available image data into different classes and then analyze the data with the available metrics.

In the video below a simple artificial example is given of the workflow in Bio7 with the help of ImageJ, R and the “SDMTools” package:

**http://bio7.org/flash/landscape.htm**

Beside this possibility it is also possible to calculate a subset of landscape metrics with a **Java API available in Bio7 **for simulation purposes.

Apropos:

Landscape metrics algorithms are quite similar to some algorithms which are default available in ImageJ and these measurements can maybe complement an analysis of landscape structures, see:

**http://rsbweb.nih.gov/ij/docs/menus/analyze.html**

**http://bio7.org/flash/clusterParticles.htm**

Be aware that it is of importance to define the neighborhood rule (e.g. 4- neighbor rule or 8-neighbor rule) beside several other aspects which have to be considered. For an overview about landscape analysis and landscape ecology follow the link to a literature database at the end of this post.

**Related to this article:**

**Creating fractal categorical maps and images with Bio7**

**http://www.uni-bielefeld.de/biologie/Oekosystembiologie/bio7app/flashtut/fractalrandom.htm**

**Supervised classification of images with Bio7 and R**

**http://www.uni-bielefeld.de/biologie/Oekosystembiologie/bio7app/flashtut/supervisedimages.htm**

**SDMTools package**

**http://cran.r-project.org/web/packages/SDMTools/index.html**

**Literature (see Landscape Analysis – if you know good papers or books let me know!)**

**https://www.zotero.org/groups/ecological_modelling/items**

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