Geographic Information Systems Asked on August 30, 2021
I’ve exported a raster object from QGIS into GeoTIFF format and imported it into R as a raster brick using the brick() function from the raster package. The file is too large to share but it imports OK and appears to have four layers, which I interpret to be R, G, B and alpha
class : RasterBrick
dimensions : 4895, 4333, 21210035, 4 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 357310.5, 790610.5, 6299190, 6788690 (xmin, xmax, ymin, ymax)
crs : +proj=utm +zone=51 +south +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
source : C:/_Work/_Research/xxxx/QGIS/190617.Fr.Grv.tif
names : X190617.Fr.Grv.1, X190617.Fr.Grv.2, X190617.Fr.Grv.3, X190617.Fr.Grv.4
min values : 0, 0, 0, 0
max values : 255, 255, 255, 255
The image plots OK and quickly using the plotRGB() function from raster but the automatic grid is pretty rubbish so I was looking for a nicer plotting package. I’ve installed the tmap R package and used the following in an attempt to plot my ‘Brick’
tmap_options(max.raster = c(plot = 21210035, view = 21210035))
tm_shape(Brick) + tm_raster()
This command works OK (takes several minutes) to process and produces a 4×4 layout of the four bands in the brick in a nominal scale (0-300), with band 4 being all 255 (I expect the value should be 1 for alpha?)
Next, I try
tm_shape(Brick) + tm_rgb()
But this results in an error as follows.
Error in x[, 4] : subscript out of bounds
Which is probably related to the band four being all 255. Is there an option or workaround to solve this problem as I quite like the look for tmap() for plotting image data.
While writing this up I had the idea ... perhaps just remove the alpha layer using the dropLayer() function? I do this using
Brick <- dropLayer(Brick,4)
And now tm_rgb() works fine, albeit it is significantly slower than plotRGB(). Perhaps there is a better solution out there that can speed things up?
Answered by user2627043 on August 30, 2021
Try tm_shape(Brick) + tm_rgb(r=1, g=2, b=3)
or any other combination for the RGB scheme.
Answered by Ricardo on August 30, 2021
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