[R-sig-Geo] stars analogous of raster::aggregate
Julian M. Burgos
ju||@n@burgo@ @end|ng |rom h@|ogv@tn@|@
Tue Sep 8 18:33:08 CEST 2020
Dear all,
The raster package has the raster::aggregate function that can be used to reduce the resolution of a raster by aggregating cells by a specific factor. For example, this reduces the resolution of the L7_ETMs.tif raster by a factor of 10:
library(raster)
rst1 <- raster(system.file("tif/L7_ETMs.tif", package = "stars"))
rst2 <- aggregate(rst1, fact = 10, fun = mean)
> res(rst1)
[1] 28.5 28.5
> res(rst2)
[1] 285 285
I am trying to do the same thing with a stars object. The stars package has the stars::aggregate function, but for spatial aggregation it takes an object of class sf or sfc, so it is meant to be used for aggregation over polygons. I could do something like this:
library(stars)
st1 <- read_stars(system.file("tif/L7_ETMs.tif", package = "stars")) %>%
slice(band, 1)
grid <- st_make_grid(st_bbox(st1) %>%
st_as_sfc(),
cellsize = 285)
st2 <- aggregate(st1, grid, mean)
But the resulting st2 object is not a raster (i.e. does not X and Y dimensions), but instead has a single dimension and contains the geometries of the grid polygons.
> st1
stars object with 2 dimensions and 1 attribute
attribute(s):
L7_ETMs.tif
Min. : 47.00
1st Qu.: 67.00
Median : 78.00
Mean : 79.15
3rd Qu.: 89.00
Max. :255.00
dimension(s):
from to offset delta refsys point values
x 1 349 288776 28.5 UTM Zone 25, Southern Hem... FALSE NULL [x]
y 1 352 9120761 -28.5 UTM Zone 25, Southern Hem... FALSE NULL [y]
> st2
stars object with 1 dimensions and 1 attribute
attribute(s):
L7_ETMs.tif
Min. : 57.76
1st Qu.: 69.22
Median : 79.04
Mean : 79.09
3rd Qu.: 87.63
Max. :123.51
dimension(s):
from to offset delta refsys point
geometry 1 1260 NA NA UTM Zone 25, Southern Hem... FALSE
values
geometry POLYGON ((288776.3 9110729,...,...,POLYGON ((298466.3 9120704,...
>
So I am stuck, wondering if perhaps st_apply is the answer. What would be the best way to replicate what the raster::aggregate function does using stars? Any ideas?
Many thanks,
Julian
--
Julian Mariano Burgos, PhD
Hafrannsóknastofnun, rannsókna- og ráðgjafarstofnun hafs og vatna/
Marine and Freshwater Research Institute
Botnsjávarsviðs / Demersal Division
Fornubúðir 5, IS-220 Hafnarfjörður, Iceland
www.hafogvatn.is
Sími/Telephone : +354-5752037
Netfang/Email: julian.burgos using hafogvatn.is
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