mean).aggregate(x, ...)aggregate(x, fact=2, fun=mean, expand=TRUE, na.rm=TRUE, filename="", ... )
x a RasterLayer object
fact Integer. Aggregation factor expressed as number of cells in each direction (horizontally and vertically). Or two integers (horizontal and vertial aggregation factor). Default is 2. See below
fun Function used to aggregate values (default=mean)
expand logical. If TRUE the output RasterLayer will be larger then the input RasterLayer if a division of the number of columns or rows with factor is not an integer
na.rm logical. If TRUE, NA cells are removed from calculations
filename Character. Output filename
... Additional arguments, see below
}
Additional arguments:
format Character. Output file type. See writeRaster
datatype Character. Output data type. See dataType
overwrite Logical. If TRUE, the file will be overwritten if it exists
progress Character. Valid values are "text", "tcltk", "windows" (on that platform only) and ""
}
Aggregation will result in a RasterLayer with fact*fact fewer cells; if necessary this number is adjusted according to the value of expand.
For example, fact=2 will result in a new RasterLayer with 2*2=4 times fewer cells. If two numbers are supplied, e.g., fact=c(2,3), the first will be used for aggregating in the horizontal direction,
and the second for aggregating in the vertical direction, and the new RasterLayer will have 2*3=6 times fewer cells.
Aggregation starts at the upper-left end of a raster. If a division of the number of columns or rows with factor does not
return an integer, the extent of the resulting RasterLayer will either be somewhat smaller or somewhat larger then the original RasterLayer.
For example, the input RasterLayer has 100 columns, and fact=12, the output RasterLayer will have either 8 columns (expand=FALSE)
(using 8 x 12 = 96 of the original columns) or 9 columns (expand=TRUE). In both cases, the maximum x coordinate of the output RasterLayer would,
of course, also be adjusted.
The function fun should take multiple numbers, and return a single number. For example mean, modal, min or max.disaggregater <- raster()
# a new aggregated raster, no values
ra <- aggregate(r, fact=10)
r <- setValues(r, runif(ncell(r)))
ra <- aggregate(r, fact=10, fun=max)
# a new aggregated raster, max of the valuesRun the code above in your browser using DataCamp Workspace