[R] Spatial regression model

Roger Bivand Roger.Bivand at nhh.no
Wed Jan 7 09:30:43 CET 2004

On Wed, 7 Jan 2004, Nadine Henkenjohann wrote:

> Hello,
> is there a package which allows to fit a spatial regression model  for 
> any k-dimensional data?

This site:


tries to provide some guidance about the availability of packages for 
analysis of spatial data. The Geostatistics section of that site lists a 
number of packages perhaps relevant to your problem, but there are other 
possibilities too.


> The spatial regression model is composed of three components:
> y=mu+Z+epsilon,   
> where mu is a low order polynomial, Z is a realization of a second-order 
> stochastic process with covariance matrix Sigma and epsilon is a 
> realization of a white-noise process. The covariance function belongs to 
> the class of  either isotropic or anisotropic functions. Mean and 
> covariance parameters are estimated simultaneously by ML or REML.
> I hope somebody can answer my question.
> Thank you!
> Nadine Henkenjohann
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html

Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Breiviksveien 40, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93
e-mail: Roger.Bivand at nhh.no

More information about the R-help mailing list