This is the command r.resamp.statsgrass that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
NAME
r.resamp.stats - Resamples raster map layers to a coarser grid using aggregation.
KEYWORDS
raster, resample
SYNOPSIS
r.resamp.stats
r.resamp.stats --help
r.resamp.stats [-nw] input=name output=name [method=string] [quantile=float]
[--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
-n
Propagate NULLs
-w
Weight according to area (slower)
--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
Aggregation method
Options: average, median, mode, minimum, maximum, quart1, quart3, perc90, sum,
variance, stddev, quantile
Default: average
quantile=float
Quantile to calculate for method=quantile
Options: 0.0-1.0
Default: 0.5
DESCRIPTION
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.
NOTES
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.
EXAMPLE
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)
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