Spatial Statistics for Data Science

Part 1: Spatial data 1. Types of spatial data 2. Spatial data in R 3. The sf package for spatial vector data 4. The terra package for raster and vector data 5. Making maps with R 6. R packages to download open spatial data Part 2: Areal data 7. Spatial neighborhood matrices 8. Spatial autocorrelation 9. Bayesian spatial models 10. Disease risk modeling 11. Areal data issues Part 3: Geostatistical data 12. Geostatistical data 13. Spatial interpolation methods 14. Kriging 15. Model-based geostatistics 16. Methods assessment Part 4: Spatial point patterns 17. Spatial point patterns 18. The spatstat package 19. Spatial point processes and simulation 20. Complete Spatial Randomness 21. Intensity estimation 22. The K-function 23. Point process modeling Appendix A. The R software

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• Métodos de pesquisa: geral
• Probabilidade e Estatística
• Software matemático e estatístico

spatial data analysis;R spatial packages;disease mapping;air pollution modelling;species distribution analysis;crime hotspot detection;Bayesian spatial modelling with INLA