GRASS GIS manual: r.li - Landscape structure analysis package overview

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NAME

r.li - Landscape structure analysis package overview.

KEYWORDS

raster, landscape structure analysis, overview, landscape metrics, landscape pattern, landscape analysis

DESCRIPTION

The r.li suite is a toolset for multiscale analysis of landscape structure. It aims at implementing metrics as found in external software for quantitative measures of landscape structure like FRAGSTATS (McGarigal and Marks 1995).

The r.li suite offers a set of patch and diversity indices. It supports analysis of landscapes composed of a mosaic of patches, but, more generally, the modules work with any two-dimensional raster map whose cell values are integer (e.g., 1, 2) or floating point (e.g., 1.1, 3.2) values. The r.li.setup module has options for controlling the shape, size, number, and distribution of sampling areas used to collect information about the landscape structure. Sampling area shapes can be the entire map or a moving window of square, rectangular or circular shape. The size of sampling areas can be changed, so that the landscape can be analyzed at a variety of spatial scales simultaneously. Sampling areas may be distributed across the landscape in a random, systematic, or stratified-random manner, or as a moving window.

The r.li modules can calculate a number of measures that produce single values as output (e.g. mean patch size in the sampling area), as well as measures that produce a distribution of values as output (e.g. frequency distribution of patch sizes in the sampling area). The results are stored as raster maps.

NOTES

The general procedure to calculate an index from a raster map is two-fold:

run r.li.setup: create a configuration file selecting the parts of raster map to be analyzed. This file allows to re-run an analysis easily. It is stored on MS-Windows in the directory C:\Users\userxy\.r.li\history\, on GNU/Linux in $HOME/.r.li/history/.
run one or more of the r.li.[index] modules (e.g., r.li.patchdensity) to calculate the selected index using on the areas selected on configuration file.

EXAMPLES

Calculate a patch density index on the entire 'geology' raster map in the Spearfish sample dataset, using a 5x5 moving window:

CREATE A NEW CONFIGURATION FILE
1. run
```
        r.li.setup
```
2. The main r.li.setup window is displayed, click on "New"
3. The new configuration window is now displayed, enter the configuration file name (e.g., "my_conf", do not use absolute paths) and the name of raster map (e.g., "geology"). The other fields are not needed for this configuration.
4. Click on "Setup sampling frame", select "Whole map layer" and click "OK"
5. Click on "Setup sampling areas", select "Moving window" and click "OK"
6. Click on "Use keyboard to enter moving window dimension"
7. Select "Rectangle" and enter 5 in the "height" and "width" fields
8. Click on "Save settings"
9. Close the r.li.setup window
CALCULATE PATCHDENSITY INDEX
1. set the region settings to the "geology" raster map:
```
  g.region rast=geology -p
```
2. run r.li.patchdensity:
```
  r.li.patchdensity map=geology conf=my_conf out=patchdens
```

The resulting patch density is stored in "patchdens" raster map. You can verify the result for example with contour lines:

  r.contour in=patchdens out=patchdens step=5
  d.rast patchdens
  d.vect -c patchdens

Note that if you want to run another index with the same area configuration, you don't have to create another configuration file. You can also use the same area configuration file on another map. The program rescale it automatically. For instance if you have selected a 5x5 sample area on 100x100 raster map, and you use the same configuration file on a 200x200 raster map, then the sample area is 10x10.

ADDING NEW INDICES

New indices can be defined and implemented by any C programmer, without having to deal with all basic functions (IO etc.). The computing architecture and the functions are clearly separated, thus allowing an easy expandability. Every index is defined separately, placed in a directory along with its Makefile for compiling it and a file description.html which describes the index including a simple example of use.

REFERENCES

McGarigal, K., and B. J. Marks. 1995. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA For. Serv. Gen. Tech. Rep. PNW-351 (PDF).

AUTHORS

Claudio Porta and Lucio Davide Spano, students of Computer Science, University of Pisa (Italy).
Commission from Faunalia Pontedera (PI)

Last changed: $Date: 2014-08-18 13:13:41 -0700 (Mon, 18 Aug 2014) $

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