The importance of accounting for spatial and temporal correlation in analyses of ecological data.

nonlinear inversion: how many parameters can we estimate and which measurements are most useful? Global Change Biology 7:495-510. Williams, M., P. A. Schwarz, B. E. Law, J. Irvine, and M. R. Kurpius. 2005. An improved analysis of forest carbon dynamics using data assimilation. Global Change Biology 11:89-105. Xu, T., L. White, D. Hui, and Y. Luo. 2006. Probabilistic inversion of a terrestrial ecosystem model: analysis of un certainty in parameter estimation and model prediction. Global Biogeochemical Cycles 20. [doi: 10.1029/2005GB002468]

[1]  R. Ostfeld,et al.  Spatio-temporal patterns in county-level incidence and reporting of Lyme disease in the northeastern United States, 1990–2000 , 2007, Environmental and Ecological Statistics.

[2]  Catherine A Calder,et al.  Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. , 2009, Ecological applications : a publication of the Ecological Society of America.

[3]  Mevin B. Hooten,et al.  A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove , 2008, Environmental and Ecological Statistics.

[4]  Kathryn M. Irvine,et al.  Spatial designs and properties of spatial correlation: Effects on covariance estimation , 2007 .

[5]  N Thompson Hobbs,et al.  Linking chronic wasting disease to mule deer movement scales: a hierarchical Bayesian approach. , 2006, Ecological applications : a publication of the Ecological Society of America.

[6]  Dale L. Zimmerman,et al.  Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction , 2006 .

[7]  James S. Clark,et al.  Models for Ecological Data: An Introduction , 2007 .

[8]  Shanshan Wu,et al.  Building statistical models to analyze species distributions. , 2006, Ecological applications : a publication of the Ecological Society of America.

[9]  Alan E. Gelfand,et al.  Approximately optimal spatial design approaches for environmental health data , 2006 .

[10]  L. M. Berliner,et al.  Hierarchical Bayesian space-time models , 1998, Environmental and Ecological Statistics.

[11]  A. Gelfand,et al.  Modelling species diversity through species level hierarchical modelling , 2005 .

[12]  M. Leecaster,et al.  Multi-lag cluster designs for estimating the semivariogram for sediments affected by effluent discharges offshore in San Diego , 2007, Environmental and Ecological Statistics.

[13]  L. Waller,et al.  Applied Spatial Statistics for Public Health Data , 2004 .

[14]  A. Gelfand,et al.  Explaining Species Distribution Patterns through Hierarchical Modeling , 2006 .

[15]  Alfred Stein.  J.K. Lindsey, Statistical Analysis of Stochastic Processes in Time , 2006, Environmental and Ecological Statistics.

[16]  Jennifer A Hoeting,et al.  Model selection for geostatistical models. , 2006, Ecological applications : a publication of the Ecological Society of America.

[17]  Christopher K. Wikle,et al.  Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes , 2003 .

[18]  Carol A. Gotway,et al.  Statistical Methods for Spatial Data Analysis , 2004 .