search for: anselin

...d's spdep package for a while, and found it is quite useful. However, when considering the significance test of the local moran's index under the assumption of both normality and randomization, I just can't get a clue from the package's calculating results. I also read professor Luc Anselin's 1995 LISA paper (geographical analysis), but cannot figure out a way of using R to do the significant test. I know I must missed something, but just don't know what is it. Could anybody give a hand? Any idea will be greatly appreciated. Dan

..., and am wondering which approach is better suitied to which situation. The first camp is along the lines of Venables and Ripley's Chapter 14 (and presumably Ripley's book, but I don't have that yet)--spatial trends and kriging (e.g., the geoR package); the second along the lines of Anselin's book--spatial lag and spatial-autocorrelation models (e.g., the spdep package). As far as I can tell, these amount to the same thing (in princple). The first camp likes to use row-standardized "weight matricies" in building covariance structures (to ensure there isn't too much...

Hello List, I'm a very new user to the R system. I'm only beginning to learn the basics, but so far I've been able to do little more than try a few examples, and of course begin reading the documentation. My primary motivation for exploring R is the availability of tools like the 'spdep' package for calculating spatial statistics such as Geary's C and Moran's

I am looking for online courses to learn Spatial Statistics using R. Statistics.com is offering an online course in December on the same topic but that schedule doesn't suit mine. Are there any other similar modes for learning spatial statistics using R??? Can someone please advice??? Thank you. Ravi -- View this message in context:

...the final goal of the study is to estimate a model 1) simultaneously by FIML 2) with Mundlak (1978, 1981) specification of panels to capture for fixed and between effects 3) with spatial lag on GRP growth. As for spatial lag - the model needs to be estimated by maximum likelihood (as it is shown in Anselin 1988, for example) The main problems with Mundlak are increasing number of variables: as well as dimension of a model (additional between equations). So to begin with, I try to estimate pool, which is obviously easier, and proceed as follows: Consider the following specification: model.3eq...