r.resamp.stats.1grass - Man Page

Resamples raster map layers to a coarser grid using aggregation.


raster, resample, univariate statistics, aggregation


r.resamp.stats --help
r.resamp.stats [-nw] input=name output=name  [method=string]   [quantile=float]   [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]



Propagate NULLs


Weight according to area (slower)


Allow output files to overwrite existing files


Print usage summary


Verbose module output


Quiet module output


Force launching GUI dialog


input=name [required]

Name of input raster map

output=name [required]

Name for output raster map


Aggregation method
Options: average, median, mode, minimum, maximum, range, quart1, quart3, perc90, sum, variance, stddev, quantile, count, diversity
Default: average


Quantile to calculate for method=quantile
Options: 0.0-1.0
Default: 0.5


r.resamp.stats fills a grid cell (raster) matrix with aggregated values generated from a set of input layer data points.

Without the -w switch, the aggregate is computed over all of the input cells whose centers lie within the output cell.

With the -w switch, the aggregate uses the values from all input cells which intersect the output cell, weighted according to the proportion of the source cell which lies inside the output cell. This is slower, but produces a more accurate result.


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

The notion of weighting doesn’t make any sense for the min and max aggregates. However, the -w flag still has significance in that, when multiple destination cells overlap a source cell, the source cell is included in the calculation of all of the destination cells.


Resample elevation raster map to a lower resolution (from 6m to 20m; North Carolina sample dataset):

g.region raster=el_D782_6m -p
g.region res=20 -ap
# from 6m to 20m: weighted resampling -w
r.resamp.stats -w input=el_D782_6m output=el_D782_20m

Resampling of 6m DEM (left) to 20m DEM (right) with weighted resampling (subset)

See Also

g.region, r.resample, r.resamp.rst, r.resamp.filter, r.resamp.interp, r.neighbors

Overview: Interpolation and Resampling in GRASS GIS

Examples how statistical functions are applied can be found in the r.neighbors module documentation.


Glynn Clements

Source Code

Available at: r.resamp.stats source code (history)

Accessed: Tuesday Mar 19 11:02:01 2024

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