-Original Message-
From: Roger Bivand
Sent: Monday, September 27, 2010 6:36 AM
To: Maxime Pauwels
Cc: r-sig-geo@stat.math.ethz.ch
Subject: Re: [R-sig-Geo] Error in ContourLines2SLDF(CLrp) : cL too short
On Mon, 27 Sep 2010, Maxime Pauwels wrote:
> Hi list,
>
> I have a message erro
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
Terry Griffin, Ph.D.
Assistant Professor - Economics
University of Arkansas - Division of Agriculture
501.671.2182
tgrif...@uaex.edu
>>> Etienne Bellemare Racine 2/15/2010 10:23 AM >>>
Hi list,
I am looking for a way to tell how much clustered or not a process is
(
Thank you Roger!
>>> Roger Bivand <[EMAIL PROTECTED]> 08/31/07 1:19 AM >>>
On Thu, 30 Aug 2007, Terry Griffin wrote:
> Greetings,
>
> In a simulation I'm running, I would like to create a series of listw
> weight matrices outside of the simulation l
Greetings,
In a simulation I'm running, I would like to create a series of listw weight
matrices outside of the simulation loop. The appropriate inverse distance
weights matrix I want to use is determined within the simulation loop using the
sp.correlogram function. For instance there are 5
Greetings,
I am revisiting some simulations that I ran about a year ago. When I run the
likfit function from geoR; a message is returned that reads "kappa not used for
the spherical correlation function". The simulations still run, but wasn't
sure if this message indicates another problem th
Greetings,
I'm running a simulation and want to collect the p-values from the
sp.correlogram in spdep (version 0.4-4). I've used the $res to collect the
estimate and variance, but would like to collect the p-values "on the fly" in
an intermediate step. Any suggestions?
[[alternative
I conducted similar simulations using invIrM in the spdep package. Dr. Anselin
has a nice tutorial entitled Spatial Regression Analysis in R, A Workbook (
http://www.sal.uiuc.edu/stuff/stuff-sum/pdf/rex1.pdf ) (90 pp., 456K) at
http://www.sal.uiuc.edu/stuff/stuff-sum/tutorials where I began to