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

Pebesma, Edzer; Bivand, Roger

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

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del 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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1138311189
ISBN 13 
9781138311183
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
316
Contacto del fabricante
no disponible
Persona responsable
no disponible