Chapter 20 Statistical modelling of spatiotemporal data

Wikle/Zambione/Cressie: (Wikle, Zammit-Mangion, and Cressie 2019)

Geostatistics: (Gräler, Pebesma, and Heuvelink 2016) scalable method comparison: (Heaton et al. 2018)

Point patterns: (Stoyan et al. 2017) (Gabriel, Rowlingson, and Diggle 2013)

Spatstat book: (Baddeley, Rubak, and Turner 2015)

R-INLA: (Blangiardo et al. 2013), (Blangiardo and Cameletti 2015)

Possibly: M. Cameletti: Stem: Spatio-temporal models in R Estimation of the parameters of a spatio-temporal model using the EM algorithm, estimation of the parameter standard errors using a spatio-temporal parametric bootstrap, spatial mapping.

Stcos: https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.94 , CRAN, https://arxiv.org/abs/1904.12092

References

Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point Patterns: Methodology and Applications with R. Chapman; Hall/CRC.

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

Blangiardo, Marta, Michela Cameletti, Gianluca Baio, and Håvard Rue. 2013. “Spatial and Spatio-Temporal Models with R-Inla.” Spatial and Spatio-Temporal Epidemiology 4: 33–49. doi:https://doi.org/10.1016/j.sste.2012.12.001.

Gabriel, Edith, Barry Rowlingson, and Peter Diggle. 2013. “Stpp: An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns.” Journal of Statistical Software, Articles 53 (2): 1–29. doi:10.18637/jss.v053.i02.

Gräler, Benedikt, Edzer Pebesma, and Gerard Heuvelink. 2016. “Spatio-Temporal Interpolation using gstat.” The R Journal 8 (1): 204–18. doi:10.32614/RJ-2016-014.

Heaton, Matthew J., Abhirup Datta, Andrew O. Finley, Reinhard Furrer, Joseph Guinness, Rajarshi Guhaniyogi, Florian Gerber, et al. 2018. “A Case Study Competition Among Methods for Analyzing Large Spatial Data.” Journal of Agricultural, Biological and Environmental Statistics, December. doi:10.1007/s13253-018-00348-w.

Stoyan, Dietrich, Francisco J. Rodríguez-Cortés, Jorge Mateu, and Wilfried Gille. 2017. “Mark Variograms for Spatio-Temporal Point Processes.” Spatial Statistics 20: 125–47. doi:https://doi.org/10.1016/j.spasta.2017.02.006.

Wikle, Christopher K, Andrew Zammit-Mangion, and Noel Cressie. 2019. Spatio-Temporal Statistics with R. CRC Press.