Spatial data science with applications in R

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its co...

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Détails bibliographiques
Auteurs principaux: Pebesma, Edzer J. (Auteur), Bivand, Roger (Auteur)
Format: Livre
Langue:anglais
Publié: Boca Raton CRC Press, Taylor & Francis Group 2023
Édition:First edition.
Collection:Chapman & Hall/CRC Press the R series
Sujets: