Abstract

covariance estimation. Journal of Agricultural, Biological and Environmental Statistics 12(4)450-469. Latimer, A. M., S. Wu, A. E. Gelfand, and J. A. Silander, Jr. 2006. Building statistical models to analyze species distribu tions. Ecological Applications 16:33-50. Ritter, K., and M. Leecaster. 2007. Multi-lag cluster designs for estimating the semivariogram for sediments affected by effluent discharges offshore in San Diego. Environmental and Ecological Statistics 14:41-53. Schabenberger, O., and C. A. Gotway. 2005. Statistical methods for spatial data analysis. Chapman and Hall/CRC, Boca Raton, Florida, USA. Waller, L. A., B. J. Goodwin, M. L. Wilson, R. S. Ostfeld, S. Marshall, and E. B. Hayes. 2007. Spatio-temporal patterns in county-level incidence and reporting of Lyme disease in the northeastern United States, 1990-2000. Environmental and Ecological Statistics 14:83-100. Waller, L, and C. Gotway. 2004. Applied spatial statistics for public health data. Wiley, New York, New York, USA. Wikle, C. K. 2003. Hierarchical Bayesian models for predicting the spread of ecological processes. Ecology 84:1382-1394. Wikle, C. K., L. M. Berliner, and N. Cressie. 1998. Hierarchical Bayesian space-time models. Environmental and Ecological Statistics 5:117-154. Xia, G, M. L. Miranda, and A. E. Gelfand. 2006. Approx imately optimal spatial design approaches for environmental health data. Environmetrics 17:363-385. Zimmerman, D. L. 2006. Optimal network design for spatial prediction, covariance parameter estimation and empirical prediction. Environmetrics 17:635-652.

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