Spatio-temporal data handling in GeneralΒΆ

To better handle the long time series of maps, we create temporal datasets which serve as containers for the time series and we will further manipulate them instead of individual maps. Usually, we create empty datasets of type strds (space-time raster dataset) and after that we register the raster files into the strds. With t.c.register we can combine these two steps and with the flag -m we will visualize the temporal extents of the dataset (Note, that we use absolute time.):

$ t.c.register -m -t output=tempmean temporaltype=absolute title="Average temperature"
  description="Monthly temperature average in NC [deg C]" pattern="*tempmean" start=2000-01-01
  increment="1 months"

For the preciptation dataset:

$ t.c.register -m -t output=precip_sum title="Preciptation"
  description="Monthly precipitation sums in NC [mm]" pattern="*precip" start=2000-01-01
  increment="1 months" semantictype=sum

Look at the temporal extents:

Create a Mapset Create a Mapset

With t.list type=strds we can see the new created datasets:

$ t.list type=strds
Create a Mapset