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Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data.
Roger Bivand is Professor of Geography in the Department of Economics at the Norwegian School of Economics, Bergen, Norway. Edzer Pebesma is Professor of Geoinformatics at Westfälische Wilhelms-Universität, Münster, Germany. Virgilio Gómez-Rubio is Associate Professor in the Department of Mathematics at Universidad de Castilla-La Mancha, Albacete, Spain
Preface 2nd edition.- Preface 1st edition.- Hello World: Introducing Spatial Data.- Classes for Spatial Data in R.- Visualising Spatial Data.- Spatial Data Import and Export.- Further Methods for Handling Spatial Data.- Classes for spatio-temporal Data.- Spatial Point Pattern Analysis.- Interpolation and Geostatistics.- Modelling Areal Data.- Disease Mapping.
"The book's tone and technical focus ... suits well its intended audience: advanced or intermediate users of R wanting to improve their spatial analysis skills. ... this book is the authoritative resource on R's spatial capabilities. I heartily recommend ASDAR to all existing R users interested in spatial data and adventurous R beginners with a strong grounding in GIS." (Robin Lovelace, Applied Spatial Analysis and Policy, Vol. 8, 2015)
Elias Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren, Håvard Rue, Virgilio Gomez-Rubio, Havard Rue
Elias Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren, Håvard Rue, Virgilio Gomez-Rubio, Havard Rue