diff --git a/raster/r.li/r.li.html b/raster/r.li/r.li.html
index b291e184fc3..f96f8f21496 100644
--- a/raster/r.li/r.li.html
+++ b/raster/r.li/r.li.html
@@ -9,53 +9,66 @@
+
NAME
+
r.li - Landscape structure analysis package overview.
+
KEYWORDS
-raster, landscape structure analysis, landscape metrics, landscape pattern, landscape analysis
+
+raster, landscape structure analysis, landscape metrics,
+landscape pattern, landscape analysis
+
DESCRIPTION
-The r.li suite is a toolset for multiscale analysis of landscape structure.
-It aims at replacing the r.le suite of modules through a client-server,
-multiprocess implementation. External software for quantitative measures of landscape
-structure is for example 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 with 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.
-
-
The general procedure to calculate an index from a raster map is two-fold:
+The r.li suite is a toolset for multiscale analysis of landscape
+structure. It aims at replacing the r.le suite of modules
+through a client-server, multiprocess implementation. External software
+for quantitative measures of landscape structure is for example 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 with
+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.
+
+
+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 to analyze.
+
- run r.li.setup: create a configuration file selecting the
+ parts of raster to analyze.
-
- run r.li.'index' (e.g., r.li.patchdensity) for calculate the selected
- index using on the areas selected on configuration file.
+
- run r.li.'index' (e.g., r.li.patchdensity) for
+ calculate the selected index using on the areas selected on
+ configuration file.
-NOTE
-Also the r.li.daemon has a main function and it can be run, but it is only a
-template for development of new indices.
+NOTES
+
+Also the r.li.daemon has a main function and it can be run, but
+it is only a template for development of new indices.
-The function itself has no meaning, it can be used only for debug.
+The function itself has no meaning, it can only be used for debugging.
+
EXAMPLE
@@ -67,40 +80,42 @@ EXAMPLE
- run
- r.li.setup
+ r.li.setup
- The main r.li.setup window is displayed, click on "New"
-
- Now it is displayed the new configuration window,
- 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.
+
- Now it is displayed the new configuration window, 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.
- Click on "Setup sampling frame", select "Whole maplayer" and click "OK"
- Click on "Setup sampling areas", select "Moving window" and click "OK"
- Click on "Use keyboard to enter moving window dimension"
- Select "Rectangle" and enter 5 on "heigth" and "width" fields
- Click on "Save settings"
-
- Close r.li.setup window
+
- Close the r.li.setup window
+
CALCULATE PATCHDENSITY INDEX
-
- - set region settings to geology raster map:
+
+ - set the region settings to the "geology" raster map:
- g.region rast=geology -p
+ g.region rast=geology -p
- - run r.li.patchdensity:
+
+
- run r.li.patchdensity:
- r.li.patchdensity map=geology conf=my_conf out=patchdens
+ r.li.patchdensity map=geology conf=my_conf out=patchdens
-The resulting patch density is stored in "patchdens" raster map.
+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
+ 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
@@ -112,6 +127,7 @@ EXAMPLE
configuration file on a 200x200 raster map, then the sample area is
10x10.
+
SEE ALSO
Core modules:
@@ -127,6 +143,7 @@ SEE ALSO
r.li.patchdensity: Calculates patch density index on a raster map, using a 4 neighbour algorithm
r.li.patchnum: Calculates patch number index on a raster map, using a 4 neighbour algorithm
+
Indices based on patch dimension:
- r.li.mps: Calculates mean patch size index on a raster map, using a 4 neighbour algorithm
@@ -134,19 +151,23 @@ SEE ALSO
- r.li.padrange: Calculates range of patch area size on a raster map
- r.li.padsd: Calculates standard deviation of patch area a raster map
+
Indices based on patch shape:
- r.li.shape: Calculates shape index on a raster map
+
Indices based on patch edge:
- r.li.edgedensity: Calculates edge density index on a raster map, using a 4 neighbour algorithm
+
Indices based on patch attributes:
- r.li.cwed: Calculates contrast Weighted Edge Density index on a raster map
- r.li.mpa: Calculates mean pixel attribute index on a raster map
+
Diversity indices:
@@ -159,27 +180,45 @@ SEE ALSO
r.li.simpson: Calculates Simpson diversity index on a raster map
+
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.
+
+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
+<module_name>.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).
+Gen. Tech. Rep. PNW-351
+ (PDF).
+
AUTHORS
+
Claudio Porta and
-Lucio Davide Spano, students of Computer Science
-University of Pisa (Italy).
+Lucio Davide Spano,
+ students of Computer Science
+University of Pisa (Italy).
Commission from Faunalia Pontedera (PI)
-Last changed: $Date$
+
+Last changed: $Date$
+
-Main index - Raster index - Topics index - Keywords Index - Full index
+
+
+Main index
+ - Raster index
+ - Topics index
+ - Keywords Index
+ - Full index
+