Spatial Data Science: With Applications in R

ISBN-13: 9781138311183 / Angielski / Twarda / 2023

Roger Bivand

Opis

Spatial Data Science is a book for data scientists with intermediate R knowledge. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes – array data with spatial and temporal dimensions.

Recenzje

“I think that this is an important book. I am convinced it will be seen as a reference for scientists working with spatial data in R but also as a textbook for scientists and postgraduate students who are learning the concepts and how to do it practically in R (admittedly at a very advanced level!). It has certainly be on the shelf of everyone working with and teaching spatial data in R.”
-Hanna Meyer, Institute of Landscape Ecology, University of Münster, Germany

Spis treści

Part 1. Spatial Data  1. Getting Started  2. Coordinates  3. Geometries  4. Spherical Geometries  5. Attributes and Support  6. Data Cubes  Part 2. R for Spatial Data Science  7. Introduction to sf and stars  8. Plotting spatial data  9. Large data and cloud native  Part 3. Models for Spatial Data  10. Statistical modelling of spatial data  11. Point Pattern Analysis  12. Spatial Interpolation  13. Multivariate and Spatiotemporal Geostatistics  14. Proximity and Areal Data  15. Measures of spatial autocorrelation  16. Spatial Regression  17. Spatial econometrics models  Appendix A. Older R Spatial Packages  Appendix B. R basics