Added more documentation

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@52165 15284696-431f-4ddb-bdfa-cd5b030d7da7

temporal/temporalintro.html

@@ -6,14 +6,14 @@ The temporal GIS framework in GRASS introduces three new datatypes that are desi
   <li> <em>Space time raster datasets</em> (strds) are designed to manage raster map time series. Modules that process 
   strds have the naming prefix <em>t.rast.</em>.
   <li> <em>Space time 3D raster datasets</em> (str3ds) are designed to manage 3D raster map time series. Modules that process 
-  strds have the naming prefix <em>t.rast3d.</em>.
+  str3ds have the naming prefix <em>t.rast3d.</em>.
   <li> <em>Space time vector datasets</em> (stvds) are designed to manage vector map time series. Modules that process 
-  strds have the naming prefix <em>t.vect.</em>.
+  stvds have the naming prefix <em>t.vect.</em>.
 </ul>
 
 <h3>Temporal data management in general</h3>
 
-Modules: 
+List of general management modules: 
 <ul>
     <li><a href="t.connect.html">t.connect</a></li>
     <li><a href="t.create.html">t.create</a></li>
@@ -50,4 +50,77 @@ can be used. <a href="t.list.html">t.list</a> will list all space time datasets
 To compute and check the temporal topology of a space time datasets the module <a href="t.topology.html">t.topology</a> 
 was designed. The module <a href="t.sample.html">t.sample</a> samples the input space time dataset(s) 
 with a sample space time dataset and print the result to stdout. Several different sample methods are supported that can be 
-combined.
+combined.
+
+
+<h3>Modules to process space time raster datasets</h3>
+
+The focus of the temporal GIS framework is the processing and analysis of raster time series.
+Hence several modules that process space time raster datasets are implemented.
+
+<h4>Querying and map calculation</h4>
+
+Registered maps of a space time raster datasets can be listed using <a href="t.rast.list.html">t.rast.list</a>. This module supports
+several methods how the maps should be listed using SQL queries do determine how they are selected and sorted. Subsets
+of space time raster datasets can be extracted with <a href="t.rast.extract.html">t.rast.extract</a> that allows
+additionally to perform mapcalc operations on the selected raster maps.
+
+<ul>
+    <li><a href="t.rast.list.html">t.rast.list</a></li>
+    <li><a href="t.rast.extract.html">t.rast.extract</a></li>
+    <li><a href="t.rast.gapfill.html">t.rast.gapfill</a></li>
+    <li><a href="t.rast.mapcalc.html">t.rast.mapcalc</a></li>
+</ul>
+
+<h4>Aggregation</h4>
+
+<ul>
+    <li><a href="t.rast.aggregate.ds.html">t.rast.aggregate.ds</a></li>
+    <li><a href="t.rast.aggregate.html">t.rast.aggregate</a></li>
+    <li><a href="t.rast.series.html">t.rast.series</a></li>
+</ul>
+
+The temporal framework support the aggregation of space time raster datasets. It provides three modules to
+perform aggregation using different approaches. To aggregate a space time raster map using a temporal
+granularity like 4 months, 7 days and so on use <a href="t.rast.aggregate.html">t.rast.aggregate</a>. The
+module <a href="t.rast.aggregate.ds.html">t.rast.aggregate.ds</a> allows the aggregation of raster map series
+using the intervals of the maps (raster, 3D raster and vector) of a 2. space time dataset. A simple interface
+to <a href="r.series.html">r.series</a> is the module <a href="t.rast.series.html">t.rast.series</a> that processes
+the whole input space time raster dataset or a subset of it.
+
+
+<h4>Export/import conversion</h4>
+
+<ul>
+    <li><a href="t.rast.export.html">t.rast.export</a></li>
+    <li><a href="t.rast.import.html">t.rast.import</a></li>
+    <li><a href="t.rast.out.vtk.html">t.rast.out.vtk</a></li>
+    <li><a href="t.rast.to.rast3.html">t.rast.to.rast3</a></li>
+    <li><a href="r3.out.netcdf.html">r3.out.netcdf</a></li>
+</ul>
+
+<h4>Statistics and gap filling</h4>
+
+ 
+<ul>
+    <li><a href="t.rast.gapfill.html">t.rast.gapfill</a></li>
+    <li><a href="t.rast.univar.html">t.rast.univar</a></li>
+</ul>
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