Hi,
I am trying to understand the different data types in the sp package.
However, I do not seem to get the way that spdf are built.
For example, let say that I can build a hexagonal grid. That work just
fine using
> regio <- readShapePoly("regions.shp")
> hpts <- spsample(regio,type="hexagon
Hi All,
I'm starting to work with spatio temporal data, and wondered if there were
any extensions to the sp package that include a temporal component. (for
example, any classes that might contain 3 objects/data frames, one for the
spatial information, one for the temporal information, and one for
Hi Community,
I am new to this forum and I am starting to analyse my telemetry data trying to
be independent from commercial software. So far all I wanted to do was possible
with R. Now I am looking for a function that is able to do triangulation. The
structure of my data is as follows:
- two
Hi David,
I think it is possivel, but if you will deal with large images,
I hardly suggestion you handle this on GRASS,
and if you need play with R, you use spgrass6() package
to connect R on grass.
good luck
milton
On Wed, Sep 9, 2009 at 1:19 PM, David Mireles wrote:
> I'm new to rgdal and g
I'm new to rgdal and gdal-- I have a very large nitf image (too big
to fit in memory) that I would like to extract subset areas of
interest based on a center lat/long coordinate (and possibly an
elevation). I would like to use the getRasterData function extract the
AOI (which requires pixel x,y of
Michael:
Typically Lidar files come "tiled", e.g. you get a set of point
clouds pre-subsetted to, say, 1km x 1km window. These subsetted data
are usually a LOT easier to write some batch scripts to deal with than
trying to analyze the entire database at once. Have you seen if the
source
I've found the problem:
I had both libgdal1-1.5.0-grass and
libgdal1-1.6.0-grass
If I keep libgdal1-1.6.0-grass only and
reinstall rgdal and spgrass6, things go back
to normality.
The problem is that libgdal1-1.5.0-grass is automatically
installed by the qgis grass plugin. So without libgdal1-1.
On Wed, 9 Sep 2009, Agustin Lobo wrote:
Hi!
I've started spgrass6() with no problems
(I get:
GRASS GIS interface loaded with GRASS version: 6.4.0RC4
and location: carlos
but then get an error with gmeta6:
gmeta6()
g.region: error while loading shared libraries: libgrass_vect.so: cannot open
Hi!
I've started spgrass6() with no problems
(I get:
GRASS GIS interface loaded with GRASS version: 6.4.0RC4
and location: carlos
but then get an error with gmeta6:
> gmeta6()
g.region: error while loading shared libraries: libgrass_vect.so: cannot
open shared object file: No such file or dire
Dear All,
I would like to ask which might be the best manner to introduce a first order
autocorrelation function in a GLMM model in order to account for temporal
autocorrelation effects in a temporal series dataset, using package Lme4
(function lmer, Laplace approach) or glmmPQL functions (penal
Dear Alexandre,
I think that this should be doable.
Once you run the ENFA to estimate the habitat model, copy the values of new
rasters (future habitat)
and replace the original values in the "" object. Then simply re-run the
predict.enfa method e.g.:
# prepare the dataset for ENFA:
> beidata
Thank you for your messages. I wasn't very clear in my post but both
answers will be usefull...
Best regards
Alex
--
Alexandre Villers
PhD Student
Team "Biodiversity"
Centre d'Etudes Biologiques de Chizé-CNRS UPR1934
79360 Beauvoir sur Niort
Phone +33 (0)5 49 09 96 13
Fax +33 (0)5 49 09 65 2
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