Eliane,

I think that is a bug (even though it should not affect the results as I
take it this does not stop the function). I think it will be gone withe
next version of raster. You can probably also avoid it by doing

a<-"C:/QA_soil/inttotalrain"
aa<-raster(a, RAT=FALSE)


On Mon, Apr 8, 2013 at 4:44 AM, Gonzalez-Mirelis Genoveva <
genoveva.gonzalez-mirelis@imr.no> wrote:

> Hi Eliane,
> Not sure that it will work, but I would recommend converting your raster
> layers to .tiff files prior to importing them into R.


Why create an unnecessary copy of the data?


> Then try
>
> aa<-raster('C:/QA_soil/inttotalrain.tif',datatype=INT1U)
>

> (note the file extension, and data type argument).
>

function 'raster' does not have a 'datatype' argument, so there is no point
in supplying it.



> Good luck!
> Geno
>
> hi list,
>
> i am using R 2.15.3 (64 bit)
>
> i want to stack several raster objects to use for prediction purposes. All
> my raster files are integer and has attribute tables and none has NA
> values. ( i checked it in arcgis).however when i try to import the raster
> to R and check the values in each raster, the only values that i get are
> NAs. I hope the example below will clarify more the problem i am facing.
> Has anymore encountered a similar problem before? i appreciate any
> suggestion. Thanks in advance.
>
> PS: i am able to stack the raster files as well as plot them or compare
> them and even predict with it. however with predict i get the message:"
> Error in .getRat(ratvalues, ratnames, rattypes) :
>   argument "rattypes" is missing, with no default"
>
> example:
>
> > a<-"C:/QA_soil/inttotalrain"
> > aa<-raster(a)
> > head(aa)
>     1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20
> 1  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 2  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 3  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 4  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 5  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 6  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 7  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 8  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 9  NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> 10 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
> >
> > tail(aa)
>       15310 15311 15312 15313 15314 15315 15316 15317 15318 15319 15320
> 15321
> 18689    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18690    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18691    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18692    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18693    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18694    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18695    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18696    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18697    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
> 18698    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA    NA
>  NA
>       15322 15323 15324 15325 15326 15327 15328 15329
> 18689    NA    NA    NA    NA    NA    NA    NA    NA
> 18690    NA    NA    NA    NA    NA    NA    NA    NA
> 18691    NA    NA    NA    NA    NA    NA    NA    NA
> 18692    NA    NA    NA    NA    NA    NA    NA    NA
> 18693    NA    NA    NA    NA    NA    NA    NA    NA
> 18694    NA    NA    NA    NA    NA    NA    NA    NA
> 18695    NA    NA    NA    NA    NA    NA    NA    NA
> 18696    NA    NA    NA    NA    NA    NA    NA    NA
> 18697    NA    NA    NA    NA    NA    NA    NA    NA
> 18698    NA    NA    NA    NA    NA    NA    NA    NA
> > > aa
> class       : RasterLayer
> dimensions  : 18698, 15329, 286621642  (nrow, ncol, ncell)
> resolution  : 10, 10  (x, y)
> extent      : 685798.3, 839088.3, 3658405, 3845385  (xmin, xmax, ymin,
> ymax)
> coord. ref. : +proj=utm +zone=36 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0
> +units=m +no_defs
> data source : C:\QA_soil\inttotalrain
> names       : inttotalrain
> values      : 6, 1467  (min, max)
> attributes  :
>          ID COUNT
>  from:    6   285
>  to  : 1467    55
>
>
> On Tue, Feb 19, 2013 at 3:08 PM, Charbel Eliane <encharbel@gmail.com>
> wrote:
>
> > Dear list,
> >
> > I have 2 raster that represent exactly the same area. the 2 raster have
> > the same coordinate system and the same resolution but 2 different
> origins
> > and extents. They are both "float". My goal is to perfectly overlap the 2
> > rasters, so i can use it for analysis.
> > I have tried to use resample in R, to resample one raster using the other
> > but the output raster doesn't perfectly overlap with the raster that i
> used
> > to resample to [y in resample (x,y)]. the dim of the resultant resampled
> > raster and the y raster are the same except for the number of cells.
> >
> > I will be grateful for any help.
> >
> >
> >
> >
> >
>
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>
>
>
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