Spatial analysis is a process of modeling, examining, and interpreting model results useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and ...

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 2, No. 2 (Jun., 1997), pp. 157-178 (22 pages) The theory of generalized linear models and quasi-likelihood provides a flexible ...

The distributed lag non-linear (DLNM) model has been frequently used in time series environmental health research. However, its functionality for assessing spatial heterogeneity is still ...

Spatial linear models are popular for the analysis of data on a spatial lattice, but statistical techniques for selection of covariates and a neighbourhood structure are limited. Here we develop new ...