purpose of this study is analysis of spatial auto-correlation of freezing changes of iran over the last half century. daily temperature data over the period 1340 - 1383 of esfezari database provided by doctor masoodian (to enhance the temporal resolution of the database, daily observations of temperature from 1383 to the end of 1390 using the same method and the same spatial resolution is added...

Measurements of a wireless channel’s spatial correlation provide guiding knowledge for developing multi-antenna wireless systems that exploit the channel’s spatial diversity. Typical measurements of spatial correlation obtained by moving an antenna array through a wireless channel provided limited correlation data that cannot be generalized to antenna arrays with different geometries. In contra...

 Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...

This paper considers the problem of prediction in a panel data regression model with spatial autocorrelation. In particular, we consider a simple demand equation for cigarettes based on a panel of 46 states over the period 1963-1992. The spatial autocorrelation due to neighboring states and the individual heterogeneity across states is taken explicitly into account. We derive the best linear un...