Spatial Data Science (ePub)

Name: Spatial Data Science
Brand: Taylor & Francis
SKU: 147632385
Price: 66.99 EUR
Availability: OnlineOnly

With Applications in R (Sprache: Englisch)

Autoren: Edzer Pebesma , Roger Bivand

Schreiben Sie einen Kommentar zu "Spatial Data Science".

Spatial Data Science, Edzer Pebesma, Roger Bivand

Merken

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 -...

Mehr zum Inhalt Autorenporträt Video

eBook (ePub) 66.99 €

eBook (pdf) 66.99 €

sofort als Download lieferbar

Bestellnummer: 147632385

eBook (ePub) 66.99 €

Download bestellen

Verschenken

33 DeutschlandCard Punkte sammeln

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Spatial Data Science (ePub)“

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.

Autoren-Porträt von Edzer Pebesma, Roger Bivand

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.