Documentation update

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@52541 15284696-431f-4ddb-bdfa-cd5b030d7da7

temporal/t.list/t.list.py

@@ -5,7 +5,7 @@
 # MODULE:	t.list
 # AUTHOR(S):	Soeren Gebbert
 #               
-# PURPOSE:	List space time and map datasets
+# PURPOSE:	List space time datasets and maps registered in the temporal database
 # COPYRIGHT:	(C) 2011 by the GRASS Development Team
 #
 #		This program is free software under the GNU General Public
@@ -15,7 +15,7 @@
 #############################################################################
 
 #%module
-#% description: Lists space time datasets and maps.
+#% description: List space time datasets and maps registered in the temporal database
 #% keywords: temporal
 #% keywords: list
 #%end

temporal/t.rast.aggregate/t.rast.aggregate.html

@@ -1,12 +1,16 @@
 <h2>DESCRIPTION</h2>
 
 <em>t.rast.aggregate</em> temporally aggregates space time raster datasets by a specific temporal granularity.
-The granularity can be <em>seconds, minutes, hours, days, weeks, months</em> and <em>years</em>.
-Mixing of granularities is not supported.
+This module support <em>absolute</em> and <em>relative time</em>.
+The temporal granularity of absolute time can be 
+<em>seconds, minutes, hours, days, weeks, months</em> or <em>years</em>.
+Mixing of granularities is not supported. 
+In case of relative time the temporal unit of the input space time raster dataset is used. The granularity
+must be specified with an integer value. 
 <p>
 This module is sensitive to the current region and mask settings, hence spatial extent and spatial resolution. 
 In case the registered raster maps of the input space time raster dataset
-have different spatial resolutions, the default nearest neighbour resampling method is used for
+have different spatial resolutions, the default nearest neighbor resampling method is used for
 runtime spatial aggregation.
 
 <h2>NOTES</h2>
@@ -21,7 +25,7 @@ provided temporal granularity. The following shifts will performed:
 <ul>
     <li><em>granularity years</em>: will start at the first of January, hence 14-08-2012 00:01:30 will be shifted to 01-01-2012 00:00:00</li>
     <li><em>granularity months</em>: will start at the first day of a month, hence 14-08-2012 will be shifted to 01-08-2012 00:00:00</li>
-    <li><em>granularity weeks</em>: will start at the first day of a week (monday), hence 14-08-2012 01:30:30 will be shifted to 13-08-2012 01:00:00</li>
+    <li><em>granularity weeks</em>: will start at the first day of a week (Monday), hence 14-08-2012 01:30:30 will be shifted to 13-08-2012 01:00:00</li>
     <li><em>granularity days</em>: will start at the first hour of a day, hence 14-08-2012 00:01:30 will be shifted to 14-08-2012 00:00:00</li>
     <li><em>granularity hours</em>: will start at the first minute of a hour, hence 14-08-2012 01:30:30 will be shifted to 14-08-2012 01:00:00</li>
     <li><em>granularity minutes</em>: will start at the first second of a minute, hence 14-08-2012 01:30:30 will be shifted to 14-08-2012 01:30:00</li>
@@ -77,9 +81,10 @@ t.info type=strds input=precipitation_weekly
 <em>
 <a href="t.rast.aggregate.ds.html">t.rast.aggregate.ds</a><br>
 <a href="t.rast.extract.html">t.rast.extract</a><br>
+<a href="t.info.html">t.info</a><br>
 <a href="r.series.html">r.series</a><br>
 <a href="g.region.html">g.region</a><br>
-<a href="t.info.html">t.info</a><br>
+<a href="r.mask.html">r.mask</a><br>
 </em>
 
 

temporal/t.rast.aggregate/t.rast.aggregate.py

@@ -5,7 +5,7 @@
 # MODULE:	tr.aggregate
 # AUTHOR(S):	Soeren Gebbert
 #
-# PURPOSE:	Create a new space time raster dataset from the aggregated data of an existing space time raster dataset
+# PURPOSE:	Temporally aggregates the maps of a space time raster dataset by a user defined granularity.
 # COPYRIGHT:	(C) 2011 by the GRASS Development Team
 #
 #		This program is free software under the GNU General Public
@@ -15,7 +15,7 @@
 #############################################################################
 
 #%module
-#% description: Creates a new space time raster dataset from the aggregated data of an existing space time raster dataset.
+#% description: Temporally aggregates the maps of a space time raster dataset by a user defined granularity.
 #% keywords: temporal
 #% keywords: aggregation
 #%end
@@ -29,7 +29,7 @@
 #%option
 #% key: granularity
 #% type: string
-#% description: Aggregation granularity, format absolute time "x years, x months, x weeks, x days, x hours, x minutes, x seconds" or a double value for relative time
+#% description: Aggregation granularity, format absolute time "x years, x months, x weeks, x days, x hours, x minutes, x seconds" or an integer value for relative time
 #% required: yes
 #% multiple: no
 #%end
@@ -151,7 +151,8 @@ def main():
         input_map_names = tgis.collect_map_names(sp, dbif, start, end, sampling)
 
         if input_map_names:
-            new_map = tgis.aggregate_raster_maps(input_map_names, base, start, end, count, method, register_null, dbif)
+            new_map = tgis.aggregate_raster_maps(input_map_names, base, start, end, 
+						count, method, register_null, dbif)
 
             if new_map:
                 # Set the time stamp and write it to the raster map