Since the format is raw binary it would be easy enough to read the raw
values with ?readBin and construct a Spatial object from that. If
there is sufficient metadata with the files it might already be
recognized by a GDAL, and if you are lucky in turn by your build of
rgdal (I've not checked the fi
On Tue, 11 Oct 2011, Jonathan Greenberg wrote:
I agree -- my primary software will be ArcGIS but I was wondering if any
of the texts are better with general GIS principles, particularly if
someone wants to transition from Arc to open source approaches.
Jon,
FWIW, I suggest that you select y
Steve:
I agree -- my primary software will be ArcGIS but I was wondering if
any of the texts are better with general GIS principles, particularly
if someone wants to transition from Arc to open source approaches.
--j
On Tue, Oct 11, 2011 at 2:13 PM, Steve Friedman
wrote:
> While open source gis
Dear R Sig Geo People:
I use R to create little KML files and then upload them to the google My Maps
through the interactive process. But I was wondering if anyone knew how to
upload them automatically.
Thanks,
Erin
Erin M. Hodgess, PhD
Associate Professor
Department of Computer and Mathemat
Has anyone developed scripts for converting the National Snow and Ice Data
Center binary files to spatial pixel data frames?
The data format is described under
http://nsidc.org/data/docs/daac/nsidc0081_ssmi_nrt_seaice.gd.html#format
-
Tony Fischbach, Wildlife Biologist
Walrus Research Program
Hi all,
I've got a georeferenced grid with elevation data (height of
land, depth below sea level). I have loaded it into R in
various formats.
I would like to coarsen it to match other environmental
datasets for species distribution modeling purposes, but I
feel that the coarsened grid sho
While open source gis is appealing most jobs still require introductory
employees to use arcgis products. I'd stay away from anything else if you
want your students to thank you latter.
Steve
On Oct 11, 2011 4:33 PM, "Jonathan Greenberg" wrote:
> R-sig-geo'ers:
>
> I wanted to take a quick poll
R-sig-geo'ers:
I wanted to take a quick poll -- what is your favorite introductory
GIS textbook? I'm evaluating texts for a basic GIS course I'll be
teaching next year, and I wanted to get some feedback from the
open-source community. Thanks!
--j
--
Jonathan A. Greenberg, PhD
Assistant Profes
Hi
Check this discussion was really useful for me I used the suggestion by
Tomislav Hengl,
http://www.mail-archive.com/r-sig-geo@stat.math.ethz.ch/msg07184.html
If you need to learn how to standardize addresses, you can check
http://www.getaddress.net/
Thanks
Juan
On Tue, Oct 11, 2011 at 2:55 PM,
Hi Hodgess,
Take a look at the r package geoname.
http://geonames.r-forge.r-project.org/
Ahmadou
2011/10/11 Hodgess, Erin
> Dear R Sig Geo People:
>
> Is there a function in the various geo packages that will take an address
> and produce lat/long values, please?
>
> thanks,
> Erin
>
>
> Eri
Dear R Sig Geo People:
Is there a function in the various geo packages that will take an address and
produce lat/long values, please?
thanks,
Erin
Erin M. Hodgess, PhD
Associate Professor
Department of Computer and Mathematical Sciences
University of Houston - Downtown
mailto: hodge...@uhd.edu
Matilde Karakachoff writes:
> I'm looking for some simple techniques of exploratory data analysis for a
> "one-dimensional" spatial point process. For example I would test the CSR of
> some (few) points in a line of length 5000 against the hp. that they cluster
> in one or two places of the lin
That (vect2neigh) worked beautifully.
Thanks a lot!
ƒacu.-
PD: Lengths seem to be divided by 1000... curious...
El 10/10/11 16:08, Roger Bivand escribió:
On Mon, 10 Oct 2011, Facundo Muñoz wrote:
Hi people,
I have a shapefile of polygons (buildings), and I would like to
calculate,
Hello.
I don't know whether this is correct answer to your question, how about using
nearest neighbor analysis for point pattern?
This method is written in
Boots, B. N. and Getis, A. (1988): Point Pattern Analysis, Scientific
Geography Series, SAGE PUBLICATIONS, 45-56.
I think this eq
Hello,
I'm looking for some simple techniques of exploratory data
analysis for a
"one-dimensional" spatial point process. For example I
would test the CSR of
some (few) points in a line of length 5000 against
the hp. that they cluster
in one or two places of the line.
Do you
think that there
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