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Synopsis
The book aims to assist students and researchers to learn how to apply spatial data analysis methods to real-world data using an open source statistical programming language. It presents example applications of these methodologies and provides good practices of applied research. Therefore, the theory has been kept to a minimum and the focus is given to the use of the R programming language and selected packages. The book consists of three parts: I) an introduction to R as a programming language, II) the presentation of R commands and packages for reading and mapping spatial data, and III) the presentation of exploratory and explanatory spatial data analysis using the R package lctools.
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Présentation de l'éditeur
The book aims to assist students and researchers to learn how to apply spatial data analysis methods to real-world data using an open source statistical programming language. It presents example applications of these methodologies and provides good practices of applied research. Therefore, the theory has been kept to a minimum and the focus is given to the use of the R programming language and selected packages. The book consists of three parts: I) an introduction to R as a programming language, II) the presentation of R commands and packages for reading and mapping spatial data, and III) the presentation of exploratory and explanatory spatial data analysis using the R package lctools.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Spatial data analysis in practice: Applications with R
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 48 pages. 10.00x8.00x0.12 inches. In Stock. N° de réf. du vendeur zk1982951761
Quantité disponible : 1 disponible(s)