Here are the startup messages and the sessionInfo() output:
> library(raster)
Loading required package: sp
> library(rgdal)
rgdal: version: 1.2-5, (SVN revision 648)
Geospatial Data Abstraction Library extensions to R successfully loaded
Loaded GDAL runtime: GDAL 2.0.1, released 2015/09/15
Please provide the output of the startup messages from the loaded packages, and
of sessionInfo().
Roger Bivand
Norwegian School of Economics
Bergen, Norway
Fra: Kelly McCaffrey
Sendt: fredag 13. januar, 20.51
Emne: [R-sig-Geo] Error reading hdf files with rgdal
Til: R-sig-geo mailing list
Hello all,
I'm working with some .hdf files containing MODIS satellite data, but I
have been unable to read them into R using rgdal and gdalUtils since the
last rgdal update. Has anyone else experienced these issues and does anyone
have a suggested fix? The code I'm attempting to use and error
Great stuff to finally see it make it! Well done to all involved!
On Fri, Jan 13, 2017 at 8:24 AM Matteo Mattiuzzi
wrote:
> Dear list,
>
>
> We would like to announce the release of the MODIS package to CRAN. This
> was finally possible thanks to the constant efforts of
Dear Loic,
Thank you for your reply!
Re. aggregation, I agree - I will use either mean or median.
gcp_grid are points as below
structure(list(longitude = c(-179L, -178L, -177L, -177L, -177L,
-176L), latitude = c(-15L, -15L, -14L, 51L, 52L, -22L)), .Names =
c("longitude",
"latitude"), row.names
On 13/01/2017 10:59, Miluji Sb wrote:
> Thank you for your reply. This is what I did:
>
> ###
> library(data.table)
> library(raster)
> library(rgdal)
> library(foreign)
>
> elevation_world <- getData('worldclim', var='alt', res=2.5)
>
> # Aggregate Elevation to 1 degree
>
Dear list,
We would like to announce the release of the MODIS package to CRAN. This
was finally possible thanks to the constant efforts of Florian Detsch, whom
I would like to say thank you!
Some months ago we decided to move the development from R-Forge to GitHub
and we are thankful for any
Thanks for your quick reply to my question,
This ten points are ordered by time (date + time), and I know ,the points
are all connected. I didn't include the column with the time in this
example, to make it simple.
After read your messages, I was looking the minimum spanning tree for the
Thank you for your reply. This is what I did:
###
library(data.table)
library(raster)
library(rgdal)
library(foreign)
elevation_world <- getData('worldclim', var='alt', res=2.5)
# Aggregate Elevation to 1 degree
elevation_world_1deg <- aggregate(elevation_world, fact = 24, fun = sum)
# Extract
A new version of gstat, fixing the same bug, is now also on CRAN.
On 09/01/17 11:39, Roger Bivand wrote:
> New versions of spdep and spgwr fixing the same bug are now on CRAN.
>
> Roger
>
> On Thu, 8 Dec 2016, Edzer Pebesma wrote:
>
>> While building support for geosphere distance functions in
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