Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment (Progress in Soil Science) - Softcover

Buch 13 von 14: Progress in Soil Science

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

 
9783030648985: Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment (Progress in Soil Science)
Softcover
ISBN 10: 3030648982 ISBN 13: 9783030648985
Verlag: Springer, 2022

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
3030648982
ISBN 13 
9783030648985
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
264
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Darmstadt
64293
Deutschland

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9783030648954: Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment (Progress in Soil Science)

Vorgestellte Ausgabe

ISBN 10:  3030648958 ISBN 13:  9783030648954
Verlag: Springer, 2021
Hardcover