GRASS GIS manual: r.resamp.interp

Note: A new GRASS GIS stable version has been released: GRASS GIS 7.6, available here.
Updated manual page: here

NAME

r.resamp.interp - Resamples raster map to a finer grid using interpolation.

KEYWORDS

raster, resample, interpolation

SYNOPSIS

r.resamp.interp

r.resamp.interp --help

r.resamp.interp input=name output=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 [required]: Name of input raster map
output=name [required]: Name for output raster map
method=string: Sampling interpolation method; Options: nearest, bilinear, bicubic, lanczos; Default: bilinear; nearest: Nearest-neighbor interpolation; bilinear: Bilinear interpolation; bicubic: Bicubic interpolation

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHOR

DESCRIPTION

r.resamp.interp resamples an input raster map by interpolating between the neighboring cells via a selectable resampling algorithm. All cells present in the neighborhood of the input raster cell must be non-null to generate a non-null cell in the output raster map. A choice of four interpolation methods is available; each uses the weighted values of a different number of adjacent cells in the input map to determine the value of each cell in the output map as follows:

nearest neighbour (1 cell)
bilinear (4 cells)
bicubic (16 cells)
lanczos (25 cells)

This module is intended for reinterpolation of continuous data to a different resolution rather than for interpolation from scattered data (use the v.surf.* modules for that purpose).

NOTES

Resampling modules (r.resample, r.resamp.stats, r.resamp.interp, r.resamp.rst) resample the map to match the current region settings.

Note that for bilinear, bicubic and lanczos interpolation, cells of the output raster that cannot be bounded by the appropriate number of input cell centers are set to NULL (NULL propagation). This could occur due to the input cells being outside the current region, being NULL or MASKed.

For longitude-latitude locations, the interpolation algorithm is based on degree fractions, not on the absolute distances between cell centers. Any attempt to implement the latter would violate the integrity of the interpolation method.

EXAMPLE

Resample elevation raster map to a higher resolution (from 500m to 250m; North Carolina sample dataset):

g.region raster=elev_state_500m -p
g.region res=250 -ap
r.resamp.interp input=elev_state_500m output=elev_state_250m \
                method=bilinear