Dear Julian, you can do that by passing a non-NA value as no_data_value, e.g. by

ag3 <- st_warp(src = s1,
              dest = st_as_stars(st_bbox(s1), dx = 1, dy = 1),
              use_gdal = TRUE,
              method = "average",
              no_data_value = -9999)


On 16/07/2021 12:17, Julian M. Burgos wrote:
Dear list,

My apologies for posting this again.  I am not sure if it went through the 
first time.

I am having a bit of trouble using st_warp() to aggregate star objects with the option 
"use_gdal = TRUE".  I am using the "average" method, and I want cells with NA 
values to be ignored when computing the averages.  To demonstrate, I will make a small raster for 
testing, and will include cells with NA values:

#-------------------------------------------------
library(raster)

# Create raster for testing
myfile <- "~/myraster.tif"
myraster <- raster(xmn = 0, ymn = 0, xmx = 10, ymx = 10, resolution = 0.1,
                    crs = 4326, vals = sample(1:20, size = 10000, replace = 
TRUE))
myraster[sample(1:10000, 200)] <- NA
writeRaster(myraster, filename = myfile, overwrite = TRUE)

#-------------------------------------------------

With the raster package, I can aggregate the cells ignoring the NA values like 
this:


r1 <- raster(myfile)
ag1 <- raster::aggregate(x = raster(myfile), fact = 10,
                          fun = mean, na.rm = TRUE)

...which is what I want.  I can also aggregate the cells including the NAs, 
like this:
ag2 <- raster::aggregate(x = raster(myfile), fact = 10,
                          fun = mean, na.rm = FALSE)

.... which produces a raster with a lots of gaps.  Now, to do a similar 
aggregation with the stars package I can do this:

s1 <-  read_stars(myfile)

ag3 <- st_warp(src = s1,
               dest = st_as_stars(st_bbox(s1), dx = 1, dy = 1),
               use_gdal = TRUE,
               method = "average")

The resulting raster (ag3) has gaps like ag2, which means that the NAs are not being ignored when 
computing the averages.  With use_gdal_TRUE and method="average" we are using gdalwarp 
with the average resampling method, which according to the documentation "computes the 
weighted average of all non-NODATA contributing pixels.".  So I guess the problem is that the 
NAs are not being recognized as NODATA pixels.

Does anybody know how to solve this?

Many thanks,

Julian


--
Edzer Pebesma
Institute for Geoinformatics
Heisenbergstrasse 2, 48151 Muenster, Germany
Phone: +49 251 8333081

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