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NAME

       t.remove  - Removes space time datasets from temporal database.

KEYWORDS

       temporal, map management, remove, time

SYNOPSIS

       t.remove
       t.remove --help
       t.remove   [-rf]    [inputs=name[,name,...]]     [type=string]     [file=name]    [--help]
       [--verbose]  [--quiet]  [--ui]

   Flags:
       -r
           Remove all registered maps from the temporal and also from the spatial database

       -f
           Force recursive removing

       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       inputs=name[,name,...]
           Name of the input space time datasets

       type=string
           Type of the space time dataset, default is strds
           Options: strds,  str3ds,  stvds
           Default: strds

       file=name
           Input file with dataset names, one per line

DESCRIPTION

       The module t.remove removes space time datasets (STRDS, STR3DS, STVDS) from  the  temporal
       database.  In other words, by default it deletes the relevant database entries but not the
       maps.

       Optionally, also the raster, 3D raster and vector maps of the space time datasets  can  be
       removed  from  the  current  mapset  using  the  -r (recursive) and -f (force) flags. This
       recursive removal only works if both flags are checked together (use -rf).

EXAMPLE

       In this example a space time  raster  dataset  (STRDS)  named  precip_months_sum  will  be
       created  using  a  subset of the monthly precipitation raster maps from the North Carolina
       climate sample data set.
       In order to be able to show the case of recursive removal without  deleting  the  original
       sample  data,  we  generate  new  data  by  means  of computing yearly precipitation sums.
       Eventually, all newly produced data (STRDS and raster maps) are removed:
       #Create new and empty STRDS
       t.create output=precip_months_sum semantictype=mean \
         title="Monthly sum of precipitation" \
         description="Monthly sum of precipitation for the \
         North Carolina sample data location"
       #Register maps from sample dataset (selecting a subset with g.list)
       t.register -i type=raster input=precip_months_sum \
         maps=$(g.list type=raster pattern="201*_precip" separator=comma) \
         start="2010-01-01" increment="1 months"
       #Create some new data by aggregating with 1 years granularity
       t.rast.aggregate input=precip_months_sum \
         output=precip_years_sum basename=precip_years_sum granularity="1 \
         years" method=sum
       #Remove all newly produced data:
       # a) the aggregated STRDS with 1 years granularity along with its raster maps
       t.remove -rf type=strds input=precip_years_sum
       # b) the STRDS with 1 months granularity, but not the original sample data
       t.remove type=strds input=precip_months_sum

SEE ALSO

        t.create, t.info, t.register

AUTHOR

       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

       Last changed: $Date: 2015-09-27 13:10:53 +0200 (Sun, 27 Sep 2015) $

SOURCE CODE

       Available at: t.remove source code (history)

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