[GRASS-SVN] r63991 - grass-addons/grass7/raster/r.mess

[svn_grass at osgeo.org]

Author: pvanbosgeo
Date: 2015-01-08 02:53:07 -0800 (Thu, 08 Jan 2015)
New Revision: 63991

Modified:
   grass-addons/grass7/raster/r.mess/r.mess.html
Log:
shorten html lines

Modified: grass-addons/grass7/raster/r.mess/r.mess.html
===================================================================
--- grass-addons/grass7/raster/r.mess/r.mess.html	2015-01-08 08:59:41 UTC (rev 63990)
+++ grass-addons/grass7/raster/r.mess/r.mess.html	2015-01-08 10:53:07 UTC (rev 63991)
@@ -1,31 +1,57 @@
 <h2>DESCRIPTION</h2>
 
-The Multivariate Environmental Similarity (MES) surfaces was proposed by Elith et al (2010) and originally implemented in the Maxent software. They described the MES approach as: "The multivariate environmental similarity surface (MESS) calculation represents how similar a point is to a reference set of points, with respect to a set of predictor variables (V1, V2, ...). The values in the MESS are influenced by the full distribution of the reference points, so that sites within the environmental range of the reference points but in relatively unusual environments will have a smaller value than those in very common environments."
+The Multivariate Environmental Similarity (MES) surfaces was 
+proposed by Elith et al (2010) and originally implemented in the 
+Maxent software. They described the MES approach as: "The 
+multivariate environmental similarity surface (MESS) calculation 
+represents how similar a point is to a reference set of points, with 
+respect to a set of predictor variables (V1, V2, ...). The values in 
+the MESS are influenced by the full distribution of the reference 
+points, so that sites within the environmental range of the 
+reference points but in relatively unusual environments will have a 
+smaller value than those in very common environments."
 
-<em>r.mess</em> computes the MES and the individual similarity layers (IES - the user can select to delete these layers) and optionally a number of other layers that help to further interpret the MES values
+<em>r.mess</em> computes the MES and the individual similarity 
+layers (IES - the user can select to delete these layers) and 
+optionally a number of other layers that help to further interpret 
+the MES values
 
 <ul>
-    <li>the area where for at least one of the variables has a value that falls outside the range of values found in the reference set</li>
-    <li>the most dissimilar variable (MoD)</li> 
-    <li>the mean of the IES layers where IES < 0</li>
-    <li>the number of layers with negative values</li>
+    <li>the area where for at least one of the variables has a value 
+    that falls outside the range of values found in the reference set
+    </li>
+    <li>the most dissimilar variable (MoD)</li>
+    <li>the mean 
+    of the IES layers where IES < 0</li>
+    <li>the number of layers 
+    with negative values</li>
 </ul>
 
-<p>
-The reference points can be a binary raster layer (with 1 representing presence and 0 representing absence) or a vector point layer as reference points. Any sample of interest can be used for the reference set. Examples are points representing occurrence records for the species and areas that represent protected areas. 
+<p> The reference points can be a binary raster layer (with 1 
+representing presence and 0 representing absence) or a vector point 
+layer as reference points. Any sample of interest can be used for 
+the reference set. Examples are points representing occurrence 
+records for the species and areas that represent protected areas. 
         
-<p>
-To compare e.g., current and future environmental conditions the user needs to define a reference set of environmental variables (env_old) and a set of future environmnental variables (env_new). This is for example used to identify areas with novel future climates.
+<p> To compare e.g., current and future environmental conditions the 
+user needs to define a reference set of environmental variables 
+(env_old) and a set of future environmnental variables (env_new). 
+This is for example used to identify areas with novel future climates.
 
-<p>
-One can also test for the similarity between two different areas. For this one needs to provide a set of environmental variables (env_old) and a reference layer (ref_rast) for one region and a second set of environmental variables for another region (env_new). 
+<p> One can also test for the similarity between two different 
+areas. For this one needs to provide a set of environmental 
+variables (env_old) and a reference layer (ref_rast) for one region 
+and a second set of environmental variables for another region 
+(env_new). 
 
 
-<h2>REFERENCES</h2>
-<p>Elith, J., Kearney, M., & Phillips, S. 2010. The art of modelling range-shifting species. Methods in Ecology and Evolution 1:330-342.
+<h2>REFERENCES</h2> <p>Elith, J., Kearney, M., & Phillips, S. 
+2010. The art of modelling range-shifting species. Methods in 
+Ecology and Evolution 1:330-342.
 
 <h2>AUTHOR</h2>
 
 Paulo van Breugel, paulo at ecodiv.org
 
-<p><i>Last changed: $Date$</i>
+<p><i>Last changed: $Date: 2015-01-08 09:59:41 +0100 (do, 08 jan 
+2015) $</i>