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References
1. Bailey, Trevor C. and Gatrell, Anthony C. (1995). Interactive Spatial Data
Analysis. New York. Longman Group Limited.
2. Besag,J.,York,J.,Mollie,A. (1991). Bayesian image restoration with two
applications in spatial statistics. Ann.Inst.Statist.Math. 43,1–59.
3. Bivand, Roger S., Pebesma, Edzer J. and Gomez-Rubio, Virgilio (2103).
Applied Spatial Data Analysis with R. New York. Springer.
4. Cressie, Noel, A. (1993). Statistics for Spatial Data. New York. John Wiley
& Sons, Inc.
5. Duncan Lee, Jon Minton, Gwilym Pryce (2015). Bayesian inference for the
dissimilarity index in the presence of spatial autocorrelation. Spatial
Statistics 11 (2015) 81–95.
6. Leroux, B., Lei, X., Breslow, N. (1999). Estimation of disease rates in small
areas: a new mixed model for spatial dependence. In: Halloran, M., Berry,
D. (Eds.), Statistical Models in Epidemiology, the Environment and
Clinical Trials. New York. Springer-Verlag.
7. R Core Team (2013). R: A Language and Environment for Statistical
Computing. R Foundation for Statistical Computing, Vienna, Austria,
URL: http://www.R-project.org.
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