Soil Spectral Inference With R: Analysing Digital Soil Spectra Using the R Programming Environment - Rilegato

Libro 13 di 14: Progress in Soil Science

Wadoux, Alexandre M. J. C.; Malone, Brendan; Minasny, Budiman; Fajardo, Mario; Mcbratney, Alex B.

 
9783030648954: Soil Spectral Inference With R: Analysing Digital Soil Spectra Using the R Programming Environment
Rilegato
ISBN 10: 3030648958 ISBN 13: 9783030648954
Casa editrice: Springer Nature, 2021

Sinossi

This book provides a didactic overview of techniques for inferring information from soil spectroscopic data, and the codes in the R programming language for performing such analyses.  It is intended for students, researchers and practitioners looking to infer soil information from spectroscopic data, focusing mainly on, but not restricted to, the infrared range of the electromagnetic spectrum. Little prior knowledge of the R programming language or digital soil spectra is required. We work through the steps to process spectroscopic data systematically.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Alexandre Wadoux is Research Associate in soil science at the University of Sydney and member of the Sydney Institute of Agriculture, Australia. Brendan Malone is Senior Research Scientist in soil science at CSIRO Canberra, Australia. Budiman Minasny is Professor in soil-landscape modelling at the University of Sydney, Australia. Mario Fajardo is Postdoctoral Research Fellow at the Precision Agriculture Laboratory of the University of Sydney, Australia. Alex McBratney is Professor of Digital Agriculture & Soil Science at the University of Sydney and Director of the Sydney Institute of Agriculture, Australia.

Dalla quarta di copertina

This book provides a didactic overview of techniques for inferring information from soil spectroscopic data, and the codes in the R programming language for performing such analyses.  It is intended for students, researchers and practitioners looking to infer soil information from spectroscopic data, focusing mainly on, but not restricted to, the infrared range of the electromagnetic spectrum. Little prior knowledge of the R programming language or digital soil spectra is required. We work through the steps to process spectroscopic data systematically.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
3030648958
ISBN 13 
9783030648954
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
264
Contatto del produttore
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Darmstadt
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Germania

Altre edizioni note dello stesso titolo

9783030648985: Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment

Edizione in evidenza

ISBN 10:  3030648982 ISBN 13:  9783030648985
Casa editrice: Springer, 2022
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