## NAME

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

## KEYWORDS

temporal, map management, remove, time

## SYNOPSIS

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

### Flags:

-r
  Remove stds and unregister maps from temporal database
-f
  Force removal (required for actual deletion of files)
-d
  Remove stds, unregister maps from temporal database and delete them from mapset
--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. It can also unregister maps from temporal database using the recursive mode -r (recursive)

Optionally, also the raster, 3D raster and vector maps of the space time datasets can be removed from the current mapset using the -d (delete) flag. All removals only work if -f (force) flag is used.

## 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 -df type=strds input=precip_years_sum

    # b) the STRDS with 1 months granularity, but not the original sample data
    t.remove -f 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)

Accessed: Sunday Jan 22 20:54:23 2023

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