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<h2>DESCRIPTION</h2>
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-This module is designed to convert a space time raster dataset (STRDS) into a space time voxel cube.
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-A space time voxel cube is a 3 dimensional raster map layer (3d raster map or voxel map layer) that as time as
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-unit for the z-dimension.
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+This module is designed to convert a space time raster dataset (STRDS)
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+into a space time voxel cube. A space time voxel cube is a 3
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+dimensional raster map layer (3D raster map or voxel map layer) that as
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+time as unit for the z-dimension.
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<p>
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A space time raster dataset that should be converted into a space time
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-voxel cube must have a valid temporal topology. Hence, overlapping or inclusion of time stamps is not allowed.
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-The granularity of the STRDS is used to set the resolution of the 3d raster map layer
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-and to sample the registered time stamped raster map layers.
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+voxel cube must have a valid temporal topology. Hence, overlapping or
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+inclusion of time stamps is not allowed. The granularity of the STRDS
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+is used to set the resolution of the 3D raster map layer and to sample
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+the registered time stamped raster map layers.
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<p>
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Gaps between raster map layer in the STRDS will
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be represented by NULL values in the voxel map layer.
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@@ -15,19 +17,25 @@ be represented by NULL values in the voxel map layer.
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<h2>NOTE</h2>
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-The reference time for all space time voxel cubes is 1900-01-0100:00:00. This allows the alignment
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-space time voxel cubes with different granularities.
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+The reference time for all space time voxel cubes is
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+1900-01-0100:00:00. This allows the alignment space time voxel cubes
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+with different granularities.
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<p>
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-Be aware that the granularity of a STRDS is used to sample time stamped map layers! If you have gaps
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-between monthly intervals that have the size of a second, the monthly intervals will be sampled by a second based granularity as well. This may result in millions of space time voxel cube layers!
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+Be aware that the granularity of a STRDS is used to sample time stamped
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+map layers! If you have gaps between monthly intervals that have the
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+size of a second, the monthly intervals will be sampled by a second
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+based granularity as well. This may result in millions of space time
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+voxel cube layers!
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<h2>EXAMPLE</h2>
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-This simple example that converts a space time raster dataset that has gaps between its time stamped
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-map layers into a space time voxel cube. The time stamped raster map layer have a interval size of three months.
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-However, the granularity is one month, since of each gap has an interval size of one month. The resulting
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-voxel map layer has 9 depths. Hence, the space time raster dataset is sampled by its granularity resulting
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-in 9 layer.
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+This simple example that converts a space time raster dataset that has
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+gaps between its time stamped map layers into a space time voxel cube.
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+The time stamped raster map layer have a interval size of three months.
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+However, the granularity is one month, since of each gap has an
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+interval size of one month. The resulting voxel map layer has 9 depths.
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+Hence, the space time raster dataset is sampled by its granularity
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+resulting in 9 layer.
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<div class="code"><pre>
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g.region s=0 n=80 w=0 e=120 b=0 t=1 res=10 res3=10 -p3
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@@ -185,7 +193,6 @@ r3.info cube
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+----------------------------------------------------------------------------+
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-
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</pre></div>
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<h2>SEE ALSO</h2>
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