Spatial data science : with applications in R

著者

• Pebesma, Edzer
• Bivand, Roger

書誌事項

Spatial data science : with applications in R

Edzer Pebesma, Roger Bivand

（The R series）（A Chapman & Hall book）

CRC Press, 2023

注記

Includes bibliographical references (p. 277-290) and index.

内容説明・目次

内容説明

-Written by the authors of key spatial R packages -Makes spatial data analysis more robust -Integrates with the tidyverse and comparable approaches -Includes many easily reproducible examples

目次

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

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BD03598633
• ISBN:
  • 9781138311183
• LCCN: 2022052399
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton
• ページ数/冊数: xiii, 300 p.
• 分類:
  • LCC : QA278.2
  • DC23 : 519.5/3502855133
• 件名:
  • LCSH : Spatial analysis (Statistics) -- Data processing
  • LCSH : R (Computer program language)
• 親書誌ID:
  • BB06063161
  • BB04603869