NAME

       t.rast.gapfill   -  Replaces  gaps in a space time raster dataset with interpolated raster
       maps.

KEYWORDS

       temporal, interpolation, raster, time

SYNOPSIS

       t.rast.gapfill
       t.rast.gapfill --help
       t.rast.gapfill  [-t]  input=name   [where=sql_query]   basename=string    [nprocs=integer]
       [--help]  [--verbose]  [--quiet]  [--ui]

   Flags:
       -t
           Assign the space time raster dataset start and end time to the output map

       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       input=name [required]
           Name of the input space time raster dataset

       where=sql_query
           WHERE  conditions  of  SQL  statement without ’where’ keyword used in the temporal GIS
           framework
           Example: start_time > ’2001-01-01 12:30:00’

       basename=string [required]
           Basename of the new generated output maps
           A numerical suffix separated by an underscore will be  attached  to  create  a  unique
           identifier

       nprocs=integer
           Number of interpolation processes to run in parallel
           Default: 1

DESCRIPTION

       t.rast.gapfill   fills   temporal   gaps  in  space  time  raster  datasets  using  linear
       interpolation. Temporal all gaps will be detected in the input space time  raster  dataset
       automatically.  The predecessor and successor maps of the gaps will be identified and used
       to linear interpolate the raster map between them.

NOTES

       This module uses r.series.interp to perform the interpolation for each gap  independently.
       Hence several interpolation processes can be run in parallel.

Examples

       In this example we will create 3 raster maps and register them in the temporal database an
       then in the newly created space time raster dataset.  There  are  gaps  of  one  day  size
       between the raster maps. The values of the maps are chosen so that the interpolated values
       can be estimated.  We expect two maps with values 2 and 4 after interpolation.
       r.mapcalc expression="map1 = 1"
       r.mapcalc expression="map2 = 3"
       r.mapcalc expression="map3 = 5"
       t.register type=raster maps=map1 start=2012-08-20 end=2012-08-21
       t.register type=raster maps=map2 start=2012-08-22 end=2012-08-23
       t.register type=raster maps=map3 start=2012-08-24 end=2012-08-25
       t.create type=strds temporaltype=absolute \
                output=precipitation_daily \
                title="Daily precipitation" \
                description="Test dataset with daily precipitation"
       t.register type=raster input=precipitation_daily maps=map1,map2,map3
       t.rast.list input=precipitation_daily columns=name,start_time,min,max
       name|start_time|min|max
       map1|2012-08-20 00:00:00|1.0|1.0
       map2|2012-08-22 00:00:00|3.0|3.0
       map3|2012-08-24 00:00:00|5.0|5.0
       t.rast.list input=precipitation_daily method=deltagaps
       id|name|mapset|start_time|end_time|interval_length|distance_from_begin
       map1@PERMANENT|map1|PERMANENT|2012-08-20 00:00:00|2012-08-21 00:00:00|1.0|0.0
       None|None|None|2012-08-21 00:00:00|2012-08-22 00:00:00|1.0|1.0
       map2@PERMANENT|map2|PERMANENT|2012-08-22 00:00:00|2012-08-23 00:00:00|1.0|2.0
       None|None|None|2012-08-23 00:00:00|2012-08-24 00:00:00|1.0|3.0
       map3@PERMANENT|map3|PERMANENT|2012-08-24 00:00:00|2012-08-25 00:00:00|1.0|4.0
       t.rast.gapfill input=precipitation_daily basename=gap
       t.rast.list input=precipitation_daily columns=name,start_time,min,max
       name|start_time|min|max
       map1|2012-08-20 00:00:00|1.0|1.0
       gap_6|2012-08-21 00:00:00|2.0|2.0
       map2|2012-08-22 00:00:00|3.0|3.0
       gap_7|2012-08-23 00:00:00|4.0|4.0
       map3|2012-08-24 00:00:00|5.0|5.0

SEE ALSO

        r.series.interp, t.create, t.info

AUTHOR

       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

       Last changed: $Date: 2015-09-22 10:12:20 +0200 (Tue, 22 Sep 2015) $

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