Hi ALL,
I had a problem in using r Dcom to develop applications for applying
geostatistics using gstat. I transferred all code, which can run in R
successfully, into VB, but I could not make them running. However, data
management and simple graphing can be done without any problem.
Any help and ti
Dear Fredrike
I donĀ“t use SAGA (I just run some tests with RSAGA), and my skill on
sp/maptools/spatstat/gstat/etc on R are low. I work with ArcGis and GRASS (i
started to use grass on 1995, after I needed to chance to other GIS and now
I also use - but not prefer - ArcGis).
I think that you can a
I'm using the function ggwr (for the first time). I want to test the
significance of the coeff. estimates (global), but I can't find their
standard errors. I used the following code:
xx<-SpatialPointsDataFrame(coords=coord,data=en1)
bw <- ggwr.sel(numhomicidio~offset(log(popmedia))+I12 + I4 + I5
On Tue, Sep 16, 2008 at 6:38 PM, Roger Bivand <[EMAIL PROTECTED]> wrote:
> On Tue, 16 Sep 2008, Rainer M Krug wrote:
>
>> Hi
>>
>> when I try to import a raster layer from grass with large integer
>> values, I get wrong values in R (see below). When I change the
>> datatype in GRASS to double, it w
On Tue, 16 Sep 2008, Rainer M Krug wrote:
Hi
when I try to import a raster layer from grass with large integer
values, I get wrong values in R (see below). When I change the
datatype in GRASS to double, it works.
The underlying r.out.bin exports CELL rasters as short integers using two
bytes
On Tue, 2008-09-16 at 13:34 +0200, Oehler, Friderike (AGPP) wrote:
> If a non-experienced person wanted to decide for one program in which to
> invest time and if one was to highlight the strengths and weaknesses of R,
> SAGA, GRASS and ArcGIS in comparison to each other in a simplistic way ...
[.
Hi
when I try to import a raster layer from grass with large integer
values, I get wrong values in R (see below). When I change the
datatype in GRASS to double, it works.
Thanks,
Rainer
GRASS 6.3.0 (grass):~/Documents/Projects/AlienSpread/R > r.stats -c
input=tmpDispLocal
100%
0 39798
11 831
If a non-experienced person wanted to decide for one program in which to
invest time and if one was to highlight the strengths and weaknesses of R,
SAGA, GRASS and ArcGIS in comparison to each other in a simplistic way ...
R SAGAGRASS ArcGIS
geostatistical anal