Spatial Statistics for Data Science

ISBN-13: 9781032633510 / Twarda / 2023 / 304 str.

Paula Moraga

Opis

Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.

Spis treści

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

O autorze

Paula Moraga is Professor of Statistics at King Abdullah University of Science and Technology (KAUST). She received her Master's in Biostatistics from Harvard University and her Ph.D. in Mathematics from the University of Valencia. Dr. Moraga develops innovative statistical methods and open-source software for spatial data analysis and health surveillance, including R packages for spatio-temporal modeling, detection of clusters, and travel-related spread of disease. Her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries. Dr. Moraga has published extensively in leading journals, and serves as an Associate Editor of the Journal of the Royal Statistical Society Series A. She is the author of the book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC). Dr. Moraga received the prestigious Letten Prize for her pioneering research in disease surveillance, and her significant contributions in the development of sustainable solutions to health and environmental challenges globally.