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 Title: Spatial Data Science: With Applications in R
 Author(s): Edzer Pebesma, Roger Bivand
 Publisher: Chapman and Hall/CRC; 1st edition (May 10, 2023); eBook (Creative Commons Licensed)
 License(s): Creative Commons License (CC)
 Paperback/Hardcover: 300 pages
 eBook: HTML
 Language: English
 ISBN10: 1138311189
 ISBN13: 9781138311183
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Book Description
This book introduces and explains the concepts underlying Spatial Data: points, lines, polygons, rasters, coverages, geometry attributes, data cubes, reference systems, as well as higherlevel concepts including how attributes relate to geometries and how this affects analysis.
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.
About the Authors Edzer Pebesma is professor at the Institute for Geoinformatics of the University of Muenster, Germany, where he leads the spatiotemporal modelling lab.
 Roger Bivand is a geographer, emeritus professor of the Department of Economics of the Norwegian School of Economics, Bergen, Norway.
 Geographic Information Science and Systems (GIS), Spatial Analysis, etc.
 Data Science
 The R Programming Language
 Data Analysis and Data Mining
 Statistics, and SAS Programming
 Spatial Data Science: With Applications in R (Edzer Pebesma, et al)
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