Resources for spatial statistics

2021-08-11

I attended a talk on recent developments in spatial statistics and while most of the talk was over my head, I did not some resources in the introduction that might be helpful for someone like me who is just learning about this approach.

The two books mentioned were

Edzer Pebesma, Marius Appel, and Daniel Nüst have a nice blog, r-spatial, for those interested in learning how to do spatial analysis using R.

Lu Zhang. Nearest Neighbor Gaussian Processes (NNGP) based models in Stan (2018, Jan), is a nicely worked out example of spatial analysis using the Bayesian package, Stan.

https://www.amstat.org/asa/files/pdfs/POL-Statistics-as-a-Scientific-Discipline.pdf https://med.virginia.edu/phs/wp-content/uploads/sites/188/2021/05/TRAppS-Biostat-effort-benchmarks-Apr2021.pdf https://health.ucdavis.edu/ctsc/area/biostatistics/Documents/UCD_Biostat_Effort_Guidelines.pdf