r.series.interp - GRASS GIS manual
Author: GRASS Development Team
Description: r.series.interp: Interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions.
Keywords: raster, series, interpolation

## NAME

r.series.interp - Interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions.

## KEYWORDS

raster, series, interpolation

## SYNOPSIS

r.series.interp
r.series.interp --help
r.series.interp [input=name[,name,...]] [datapos=float[,float,...]] [infile=name] [output=name[,name,...]] [samplingpos=float[,float,...]] [outfile=name] [method=string] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

### Flags:

--overwrite
  Allow output files to overwrite existing files
--help
  Print usage summary
--verbose
  Verbose module output
--quiet
  Quiet module output
--ui
  Force launching GUI dialog

### Parameters:

input=name[,name,...]
  Name of input raster map(s)
datapos=float[,float,...]
  Data point position for each input map
infile=name
  Input file with one input raster map name and data point position per line, field separator between name and sample point is |
output=name[,name,...]
  Name for output raster map
samplingpos=float[,float,...]
  Sampling point position for each output map
outfile=name
  Input file with one output raster map name and sample point position per line, field separator between name and sample point is |
method=string
  Interpolation method, currently only linear interpolation is supported
  Options: linear
  Default: linear

## DESCRIPTION

r.series.interp interpolates new raster maps located temporal or spatial in between existing raster maps. The interpolation is performed at specific sampling positions. The sampling position for each output map must be specified, as well as the data position of the input maps. The following interpolation methods are supported.

- linear: Linear interpolation. At least two input maps and data positions are required.

## EXAMPLES

Interpolate linear three new maps at 3 sampling positions in the interval (0.0;1.0)
First prepare the input maps:

    g.region s=0 n=80 w=0 e=120 b=0 t=50 res=10 res3=10 -p3

    r.mapcalc expr="prec_1 = 100"
    r.mapcalc expr="prec_5 = 500"

Interpolate

    r.series.interp --v input=prec_1,prec_5 datapos=0.0,1.0 \
                      output=prec_2,prec_3,prec_4 samplingpos=0.25,0.5,0.75 \
                      method=linear

Interpolate using the file option. First prepare the input file:

    echo "prec_2|0.25
    prec_3|0.5
    prec_4|0.75" >> outfile.txt

Interpolate:

    r.series.interp --v input=prec_1,prec_5 datapos=0.0,1.0 file=outfile.txt method=linear

The resulting maps will have the values 200, 300 and 400.

## SEE ALSO

g.region, r.series, r.series.accumulate

Hints for large raster data processing

## AUTHOR

Sören Gebbert

## SOURCE CODE

Available at: r.series.interp source code (history)

Accessed: Wednesday Jun 03 04:19:50 2026

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