Spatial Data Science: With Applications in R (Chapman & Hall/CRC The R Series) - Hardcover

Pebesma, Edzer; Bivand, Roger

 
9781138311183: Spatial Data Science: With Applications in R (Chapman & Hall/CRC The R Series)
Hardcover
ISBN 10: 1138311189 ISBN 13: 9781138311183
Verlag: Chapman and Hall/CRC, 2023

Inhaltsangabe

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.

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Über die Autorin bzw. 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.

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Verlag
Chapman and Hall/CRC
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
1138311189
ISBN 13 
9781138311183
Einband
Tapa dura
Auflage
1
Anzahl der Seiten
316
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar