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@@ -35,8 +35,6 @@ provided temporal granularity. The following shifts will performed:
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<h2>EXAMPLES</h2>
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-<h3>EXAMPLE 1</h3>
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-
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In this example, we create 7 raster maps that will be registered in a single space time
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raster dataset named <em>precipitation_daily</em> using a daily temporal granularity.
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The names of the raster maps are stored in a text file that is used for raster map registration.
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@@ -168,28 +166,6 @@ t.info type=strds input=precipitation_weekly
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</pre></div>
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-<h3>EXAMPLE 2</h3>
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-
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-Example for monthly aggregation:
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-
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-<div class="code"><pre>
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-# January averages
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-t.rast.series input=monthly_aggregates \
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- output=jan_average method=average \
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- where="start_time = datetime(start_time, 'start_of_year', '0 month')"
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-
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-# February averages
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-t.rast.series input=monthly_aggregates \
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- output=feb_average method=average \
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- where="start_time = datetime(start_time, 'start_of_year', '1 month')"
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-
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-# March averages
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-t.rast.series input=monthly_aggregates \
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- output=mar_average method=average \
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- where="start_time = datetime(start_time, 'start_of_year', '2 month')"
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-</pre></div>
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-
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-
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<h2>SEE ALSO</h2>
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<em>
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