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

SOURCE CODE

       Available at: t.remove source code (history)

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