Alex,
Thanks for your reply.
I have installed osgeo4w (osgeo4w-setup.exe).
May I request you to assist me in the following:
I s there any tutorial to start with R and GRASS,
- To interface R with GRASS from R
- To interface R with GRASS from GRASS
Once again, thank you very much for t
http://trac.osgeo.org/osgeo4w/
On 03/11/2010 04:12 PM, Debabrata Midya wrote:
> Dennis,
>
> Thanks for your reply.
>
> May I request you to assist me in the followings:
>
> 1. Where can I get a copy of 32-bit GRASS on Windows XP.
>
> 2. I s there any tutorial to start with R and GRASS,
>
Dennis,
Thanks for your reply.
May I request you to assist me in the followings:
1. Where can I get a copy of 32-bit GRASS on Windows XP.
2. I s there any tutorial to start with R and GRASS,
- To interface R with GRASS from R
- To interface R with GRASS from GRASS
Once again,
Christopher,
The reason is because there is no plot method for the variofit object.
(only lines). (Maybe it should have be...)
The ideia is then to overlay the fitted varigram on a empiralcal one
as in the following example:
require(geoR)
v <- variog(s100, max.dist=1.1)
plot(v)
vf <- variofit(s1
Hello,
I'm rather new on the list, so maybe a bit naive but educable.
I entered an emperical variogram, a matrix of initial parameter vectors, etc.,
and ran variofit. The results appear reasonable in terms of the nugget and
range (see the structure below). But when I try plot(ghf) it fails:
> g
Terry Griffin, Ph.D.
Assistant Professor - Economics
University of Arkansas - Division of Agriculture
501.671.2182
tgrif...@uaex.edu
>>> Scott L Minkoff 3/11/2010 12:57 PM >>>
Hello,
I am new to analyzing spatial data in R and was having trouble finding an
answer to my question in the li
On Thu, 11 Mar 2010, Scott L Minkoff wrote:
Hello,
I am new to analyzing spatial data in R and was having trouble finding an
answer to my question in the list archives. I am interested in doing
spatial regression with an inverse distance matrix. To do this, I created
the weights matrix outs
Hello,
I am new to analyzing spatial data in R and was having trouble finding an
answer to my question in the list archives. I am interested in doing
spatial regression with an inverse distance matrix. To do this, I created
the weights matrix outside of R (in ArcGIS) and then used the mat2lis
On Thu, 11 Mar 2010, Jay Douillard wrote:
I'm working on a project where the distance between two polygons may be
a poor measure of connectivity(contigious polygons that may have an
impassible mountain chain between them. To get a better measure of
distance I've used road network distances fro
Jay:
Some time ago, the alternative weighting scheme issue was raised, but no
solution as far as I know was present. As for now, I don't think SPGWR
is taking other weighting schemes than the coordinates determined
distance. I believe it is doable, however, by implementing some sort of
altern
I'm afraid Hadley is correct. Section 10.12 of Google Maps/Google Earth
APIs Terms of Service states:
10.12 use or display the Content without a corresponding Google map,
unless you are explicitly permitted to do so in the Maps APIs
Documentation, the Street View API Documentation, or through writ
I'm working on a project where the distance between two polygons may be a poor
measure of connectivity(contigious polygons that may have an impassible
mountain chain between them. To get a better measure of distance I've used road
network distances from population weighted centroids of the polyg
> They limit, however, the number of geocode requests to 15,000 in a 24 hour
> period. If the url connection breaks, then it might be a good idea to run the
> same loop one more time and set add a while command to look for the missing
> coordinates.
It's also against the terms of service to use
or start your own www.openstreetmap.org geocoder
see
http://wiki.openstreetmap.org/wiki/Nominatim
if you take just the database for a part of the world (not the whole
several GB version), it is very fast
michal palenik
On Thu, Mar 11, 2010 at 09:26:23AM +0100, Tomislav Hengl wrote:
> Google has an
Hi Lucy,
The R package adehabitat has classes and functions to deal with animal
tracking data. When you import your data into adehabitat (into an object of
class ltraj, using as.ltraj), the speed, turning angles, etc. for each point
are calculated automatically for you and stored in the resulting
Google has an API that allows you to geocode addresses (or anything that
spatial coordinates in their database) e.g.:
> readLines(url("http://maps.google.com/maps/geo?q=1600+Amphitheatre+Parkway,+Mountain+View,+CA
&output=csv&key=abcdefg"), n=1, warn=FALSE)
[1] 200.0 8.0 37.42197 -122.084
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