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Spatial Data Science
With Applications in R
Buch von Edzer Pebesma (u. a.)
Sprache: Englisch

110,95 €*

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Beschreibung
This book explains the basics of spatial data types, spatial data handling, spatial topology, and statistical analysis of spatial data, with applications in R. In addition to writing one's own script, this book teaches whether running that script or creating that map is a good idea.
This book explains the basics of spatial data types, spatial data handling, spatial topology, and statistical analysis of spatial data, with applications in R. In addition to writing one's own script, this book teaches whether running that script or creating that map is a good idea.
Über den Autor

Edzer Pebesma is professor at the Institute for Geoinformatics of the University of Muenster, Germany, where he leads the spatiotemporal modelling lab. He co-initiated openEO, an open source software ecosystem around a language neutral API for analyzing very large data cubes and image collections.

Roger Bivand is a geographer, emeritus professor of the Department of Economics of the Norwegian School of Economics, Bergen, Norway, has worked with spatial autocorrelation since the 1970's, and is a Fellow of the Spatial Econometrics Association.

Edzer and Roger have actively interacted with the open source geospatial user and developer communities since the last century. They author and maintain a number of key R packages for the handling and analysis of spatial and spatiotemporal data, including sf, stars, s2, sp, and gstat, spdep, spatialreg and rgrass. Both are ordinary members of the R foundation.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2023
Fachbereich: Landwirtschaft & Gartenbau
Genre: Importe, Umwelt
Produktart: Nachschlagewerke
Rubrik: Ökologie
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781138311183
ISBN-10: 1138311189
Sprache: Englisch
Einband: Gebunden
Autor: Pebesma, Edzer
Bivand, Roger
Hersteller: Taylor & Francis Ltd
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 236 x 163 x 20 mm
Von/Mit: Edzer Pebesma (u. a.)
Erscheinungsdatum: 10.05.2023
Gewicht: 0,663 kg
Artikel-ID: 125848323
Über den Autor

Edzer Pebesma is professor at the Institute for Geoinformatics of the University of Muenster, Germany, where he leads the spatiotemporal modelling lab. He co-initiated openEO, an open source software ecosystem around a language neutral API for analyzing very large data cubes and image collections.

Roger Bivand is a geographer, emeritus professor of the Department of Economics of the Norwegian School of Economics, Bergen, Norway, has worked with spatial autocorrelation since the 1970's, and is a Fellow of the Spatial Econometrics Association.

Edzer and Roger have actively interacted with the open source geospatial user and developer communities since the last century. They author and maintain a number of key R packages for the handling and analysis of spatial and spatiotemporal data, including sf, stars, s2, sp, and gstat, spdep, spatialreg and rgrass. Both are ordinary members of the R foundation.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2023
Fachbereich: Landwirtschaft & Gartenbau
Genre: Importe, Umwelt
Produktart: Nachschlagewerke
Rubrik: Ökologie
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781138311183
ISBN-10: 1138311189
Sprache: Englisch
Einband: Gebunden
Autor: Pebesma, Edzer
Bivand, Roger
Hersteller: Taylor & Francis Ltd
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 236 x 163 x 20 mm
Von/Mit: Edzer Pebesma (u. a.)
Erscheinungsdatum: 10.05.2023
Gewicht: 0,663 kg
Artikel-ID: 125848323
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