参考文献

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2019. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.

Banerjee, Sudipto, Bradley P. Carlin, and Alan E Gelfand. 2015. Hierarchical Modeling and Analysis for Spatial Data. 2ed ed. Statistics & Applied Probability. Chapman & Hall/CRC.

Bonat, Wagner Hugo, and Paulo Justiniano Ribeiro. 2016. “Practical Likelihood Analysis for Spatial Generalized Linear Mixed Models.” Environmetrics 27 (2): 83–89. https://onlinelibrary.wiley.com/doi/abs/10.1002/env.2375.

Breslow, N. E., and D. G. Clayton. 1993. “Approximate Inference in Generalized Linear Mixed Models.” Journal of the American Statistical Association 88 (421): 9–25.

Christensen, O. F., and P. J. Ribeiro Jr. 2002. “geoRglm: A Package for Generalised Linear Spatial Models.” R News 2 (2): 26–28. https://CRAN.R-project.org/doc/Rnews/Rnews_2002-2.pdf.

Christensen, Ole F. 2004. “Monte Carlo Maximum Likelihood in Model-Based Geostatistics.” Journal of Computational and Graphical Statistics 13 (3): 702–18.

Diggle, Peter J., and Emanuele Giorgi. 2016. “Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings.” Journal of the American Statistical Association 111 (515): 1096–1120. https://doi.org/10.1080/01621459.2015.1123158.

Diggle, Peter, Rana Moyeed, Barry Rowlingson, and Madeleine Thomson. 2002. “Childhood Malaria in the Gambia: A Case-Study in Model-Based Geostatistics.” Journal of the Royal Statistical Society: Series C (Applied Statistics) 51 (4): 493–506. https://doi.org/10.1111/1467-9876.00283.

Diggle, P. J., J. A. Tawn, and R. A. Moyeed. 1998. “Model-Based Geostatistics.” Journal of the Royal Statistical Society: Series C (Applied Statistics) 47 (3): 299–350. https://doi.org/10.1111/1467-9876.00113.

Douglas Nychka, Reinhard Furrer, John Paige, and Stephan Sain. 2017. “fields: Tools for Spatial Data.” Boulder, CO, USA: University Corporation for Atmospheric Research. https://doi.org/10.5065/D6W957CT.

Geyer, Charles J. 1994. “On the Convergence of Monte Carlo Maximum Likelihood Calculations.” Journal of the Royal Statistical Society, Series B 56 (1): 261–74.

Gräler, Benedikt, Edzer Pebesma, and Gerard Heuvelink. 2016. “Spatio-Temporal Interpolation Using gstat.” The R Journal 8 (1): 204–18. https://journal.r-project.org/archive/2016/RJ-2016-014/index.html.

Hastie, Trevor. 1996. “Pseudosplines.” Journal of the Royal Statistical Society, Series B 58 (2): 379–96.

Hosseini, Fatemeh. 2016. “A New Algorithm for Estimating the Parameters of the Spatial Generalized Linear Mixed Models.” Environmental and Ecological Statistics 23 (2): 205–17. https://doi.org/10.1007/s10651-015-0335-6.

Liang, Faming, Yichen Cheng, Qifan Song, Jincheol Park, and Ping Yang. 2013. “A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data.” Journal of the American Statistical Association 108 (501): 325–39. https://doi.org/10.1080/01621459.2012.746061.

Lindgren, Finn, and Håvard Rue. 2015. “Bayesian Spatial Modelling with R-INLA.” Journal of Statistical Software 63 (19): 1–25.

Marta Blangiardo, Michela Cameletti. 2015. Spatial and Spatio-Temporal Bayesian Models with R-Inla. Wiley.

Plummer, Martyn, Nicky Best, Kate Cowles, and Karen Vines. 2006. “coda: Convergence Diagnosis and Output Analysis for Mcmc.” R News 6 (1): 7–11. https://www.r-project.org/doc/Rnews/Rnews_2006-1.pdf.

Rasmussen, Carl Edward, and Christopher K. I. Williams. 2006. Gaussian Processes for Machine Learning. The MIT Press. http://www.gaussianprocess.org/gpml/.

Ribeiro Jr., Paulo J., Ole F. Christensen, and Peter J. Diggle. 2003. “geoR and geoRglm: Software for Model-Based Geostatistics.” Proceedings of DSC. https://www.r-project.org/conferences/DSC-2003/Proceedings/RibeiroEtAl.pdf.

Rousset, François, and Jean-Baptiste Ferdy. 2014. “Testing Environmental and Genetic Effects in the Presence of Spatial Autocorrelation.” Ecography 37 (8): 781–90. http://dx.doi.org/10.1111/ecog.00566.

Rue, Håvard, Sara Martino, Nicolas Chopin, and et al. 2009. “Approximate Bayesian Inference for Latent Gaussian Models by Using Integrated Nested Laplace Approximations.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 71 (2): 319–92.

Rue, Håvard, Andrea I. Riebler, Sigrunn H. Sørbye, Janine B. Illian, Daniel P. Simpson, and Finn K. Lindgren. 2017. “Bayesian Computing with INLA: A Review.” Annual Reviews of Statistics and Its Applications 4 (1): 395–421. https://arxiv.org/abs/1604.00860.

Sarkar, Deepayan. 2008. Lattice: Multivariate Data Visualization with R. New York: Springer. http://lmdvr.r-forge.r-project.org.

Schlather, Martin, Alexander Malinowski, Peter J. Menck, Marco Oesting, and Kirstin Strokorb. 2015. “Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields.” Journal of Statistical Software 63 (8): 1–25. https://www.jstatsoft.org/v63/i08/.

Wickham, Hadley. 2016. ggplot2: Elegant Graphics for Data Analysis. Second. New York, NY: Springer-Verlag. https://doi.org/10.1007/978-3-319-24277-4.

Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/.

———. 2016. Bookdown: Authoring Books and Technical Documents with R Markdown. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/bookdown.

Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.

Zhang, Hao. 2002. “On Estimation and Prediction for Spatial Generalized Linear Mixed Models.” Biometrics 58 (1): 129–36.