[GRASS-SVN] r68901 - grass-addons/grass7/raster/r.exdet

[svn_grass at osgeo.org]

Author: pvanbosgeo
Date: 2016-07-09 05:01:06 -0700 (Sat, 09 Jul 2016)
New Revision: 68901

Modified:
   grass-addons/grass7/raster/r.exdet/r.exdet.html
Log:
r.exdet: minor edits

Modified: grass-addons/grass7/raster/r.exdet/r.exdet.html
===================================================================
--- grass-addons/grass7/raster/r.exdet/r.exdet.html	2016-07-09 12:00:58 UTC (rev 68900)
+++ grass-addons/grass7/raster/r.exdet/r.exdet.html	2016-07-09 12:01:06 UTC (rev 68901)
@@ -11,15 +11,15 @@
 hitherto not encountered in the area of interest. It is important to 
 identify such areas and to interpret model results with care.
 
-<p>The <em>r.exdet</em> function allows you to identify areas with 
-novel conditions, following methods developed by Mesgaran et al. 
-(2014) [1][2]. This includes areas where conditions fall outside the 
-range of values observed in the reference / callibration data set 
-(Type 1 novelty) or areas with novel combinations between the 
-envirionmental variables (Type 2 novelty). It furthermore compute 
-the most dissimilar variable for areas where conditions of at least 
-one of the variables fall outside the range of values observed in 
-the reference data set.
+<p>The <em>r.exdet</em> function allows you to identify areas with
+novel conditions, following methods developed by Mesgaran et al.
+(2014) [1][2]. This includes areas where conditions fall outside the
+range of values observed in the reference / callibration data set
+(Type 1 novelty) or areas with novel combinations between the
+envirionmental variables (Type 2 novelty). It furthermore compute
+the most influential covariate (MIC; i.e., the most dissimilar
+variable) for areas where conditions of at least one of the variables
+fall outside the range of values observed in the reference data set.
 
 <p>The type 1 (<em>NT1</em>) similarity is similar to how the 
 multi-environmental similarity messure (MESS) computes novel