[GRASS-SVN] r65059 - grass-addons/grass7/raster/r.meb

svn_grass at osgeo.org svn_grass at osgeo.org
Wed Apr 15 07:43:33 PDT 2015


Author: pvanbosgeo
Date: 2015-04-15 07:43:33 -0700 (Wed, 15 Apr 2015)
New Revision: 65059

Modified:
   grass-addons/grass7/raster/r.meb/r.meb.html
Log:
add citation info

Modified: grass-addons/grass7/raster/r.meb/r.meb.html
===================================================================
--- grass-addons/grass7/raster/r.meb/r.meb.html	2015-04-15 14:41:50 UTC (rev 65058)
+++ grass-addons/grass7/raster/r.meb/r.meb.html	2015-04-15 14:43:33 UTC (rev 65059)
@@ -3,12 +3,12 @@
 <p>The Multivariate Environmental Bias (MEB) takes the medium 
 conditions in an area <em>N</em> and computes how much conditions in 
 a subset of <em>N </em> (<em>S</em>) deviate from these medium 
-conditions. This can for example be used to see how well conditions 
+conditions (van Breugel et al. 2015). This can for example be used to see how well conditions 
 in the protected areas of a country represent conditions in the 
 whole country.
 
 <p>The messure is based on the Multivariate Environmental Similarity 
-(<em>MES</em>) surface, which was proposed by Elith et al (2010). To compute 
+(<em>MES</em>) surface, which was proposed by Elith et al (2015). To compute 
 the MES First the similarity of a point <em>P</em> to the conditions 
 in <em>N</em> with respect to variable <em>V</em> is computed. The 
 similarity is expressed as the deviation from the median of <em>V</em> 
@@ -37,8 +37,15 @@
 <p><img src="r_meb_concept.png">
 
 <h2>NOTE</h2>
-Input variables are expected to be or to represent continuous variables. 
+<p>Input variables are expected to be or to represent continuous variables. 
 
+<h2>CITATION</h2>
+<p>When using this addon, please use the citation below:
+<p>van Breugel P, Kindt R, Lillesø J-PB, van Breugel M (2015) 
+Environmental Gap Analysis to Prioritize Conservation Efforts in 
+Eastern Africa. PLoS ONE 10(4): e0121444. 
+doi: 10.1371/journal.pone.0121444 
+
 <h2>REFERENCES</h2> 
 
 <p>Elith, J., Kearney, M., and Phillips, S. 



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