[GRASS-SVN] r54783 - grass-addons/grass6/raster/r.mess

Sun Jan 27 02:19:46 PST 2013

Author: neteler
Date: 2013-01-27 02:19:46 -0800 (Sun, 27 Jan 2013)
New Revision: 54783

Removed:
   grass-addons/grass6/raster/r.mess/r.mess.html
Log:
revert r54770: the trick is to remove older installations first from addons

Deleted: grass-addons/grass6/raster/r.mess/r.mess.html
===================================================================

--- grass-addons/grass6/raster/r.mess/r.mess.html	2013-01-27 10:18:47 UTC (rev 54782)
+++ grass-addons/grass6/raster/r.mess/r.mess.html	2013-01-27 10:19:46 UTC (rev 54783)
@@ -1,125 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-<html>
-<head>
-<title>GRASS GIS manual: r.mess</title>
-<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
-<link rel="stylesheet" href="grassdocs.css" type="text/css">
-</head>
-<body bgcolor="white">
-
-<img src="grass_logo.png" alt="GRASS logo"><hr align=center size=6 noshade>
-
-<h2>NAME</h2>
-<em><b>r.mess</b></em>  - Computes multivariate environmental similarity surface
-<h2>KEYWORDS</h2>
-<h2>SYNOPSIS</h2>
-<div id="name"><b>r.mess</b><br></div>
-<b>r.mess help</b><br>
-<div id="synopsis"><b>r.mess</b> [-<b>mkl</b>]  [<b>ref_rast</b>=<em>name</em>]   [<b>ref_vect</b>=<em>name</em>]  <b>env_var</b>=<em>names</em>[,<i>names</i>,...] <b>output</b>=<em>name</em> <b>digits</b>=<em>string</em>  [--<b>overwrite</b>]  [--<b>verbose</b>]  [--<b>quiet</b>] 
-</div>
-
-<div id="flags">
-<h3>Flags:</h3>
-<dl>
-<dt><b>-m</b></dt>
-<dd>Calculate Most dissimilar variable (MoD)</dd>
-
-<dt><b>-k</b></dt>
-<dd>Calculate mean of IES layers</dd>
-
-<dt><b>-l</b></dt>
-<dd>Calculate median of IES layers</dd>
-
-<dt><b>--overwrite</b></dt>
-<dd>Allow output files to overwrite existing files</dd>
-<dt><b>--verbose</b></dt>
-<dd>Verbose module output</dd>
-<dt><b>--quiet</b></dt>
-<dd>Quiet module output</dd>
-</dl>
-</div>
-
-<div id="parameters">
-<h3>Parameters:</h3>
-<dl>
-<dt><b>ref_rast</b>=<em>name</em></dt>
-<dd>Reference distribution as raster</dd>
-
-<dt><b>ref_vect</b>=<em>name</em></dt>
-<dd>Reference distribution as point vector layer</dd>
-
-<dt><b>env_var</b>=<em>names[,<i>names</i>,...]</em> <b>[required]</b></dt>
-<dd>Input (predictor) raster map(s)</dd>
-
-<dt><b>output</b>=<em>name</em> <b>[required]</b></dt>
-<dd>Root name of the output MESS data layers</dd>
-
-<dt><b>digits</b>=<em>string</em> <b>[required]</b></dt>
-<dd>Precision of your input layers values</dd>
-<dd>Default: <em>0.001</em></dd>
-
-</dl>
-</div>
-
-<h2>DESCRIPTION</h2>
-
-<em>r.mess</em> computes the "Multivariate Environmental
-Similarity Surfaces" (MESS) in GRASS using R as backend. The
-MESS index was proposed by Elith et al (2010) and is also
-implemented in the Maxent software. The MESS approach
-can be described as follows (from Elith et al 2010):
-"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."
-
-<p>This module will also compute the individual environmental
-similarity surfaces (IESS), which represents how similar a point is to
-a set of reference points for each of the input variable. MESS
-is then simply calculated as the minimum of its similarity with respect
-to each variable. 
-
-<p>Any sample of interest can be used for the reference set. For example,
-it can be occurrence records for the species; a sample of a region, or a sample of
-current climate conditions in a given area. The input layer representing the
-reference distribution can be a vector point layer or a raster layer.
-
-<p>
-The IESS can have negative values – these are sites where the variable
-has a value that is outside the range in the reference set. A negative MESS
-thus represents sites where at least one variable has a value that is
-outside the range of environments over the reference set, so these are
-novel environments.
-
-<p>
-In addition to the MESS, which is the minimum(IESS), the r.mess
-function also allows to compute mean and medium of the IESS layers.
-
-<h2>NOTES</h2>
-Digits should reflect the level of precision of the input layers. I.e., if
-values of the input layers are recorded with three digits behind the comma,
-Digits should be set to 0.001 or smaller.
-
-<h2>SEE ALSO</h2>
-There is also a similar function implemented for R using the R package
-<em>raster</em>, and which is part of the dismo package in R now. See <a href="http://rossijeanpierre.wordpress.com/2012/08/13/computing-the-multivariate-environmental-similarity-surfaces-mess-index-in-r/">here</a>.
-for more information and the script.
-
-<h2>AUTHOR</h2>
-
-Paulo van Breugel <paulo at ecodiv.org>
-
-<h2>REFERENCES</h2>
-<ul>
-<li>Elith, J., Kearney, M., & Phillips, S. 2010. The art of
-modelling range-shifting species. Methods in Ecology and Evolution 1:
-330–342.</li>
-</ul>
-
-<p>
-<i>Last changed: $Date: 2012-11-22 11:29:12 +0100 (Thu, 22 Nov 2012) $</i>
-</body>
-</html>

