Soil Spectral Inference with R / Progress in Soil Science (PDF)
Analysing Digital Soil Spectra using the R Programming Environment
(Sprache: Englisch)
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...
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Produktinformationen zu „Soil Spectral Inference with R / Progress in Soil Science (PDF)“
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.
Autoren-Porträt von Alexandre M. J. -C. Wadoux, Brendan Malone, Budiman Minasny, Mario Fajardo, Alex B. McBratney
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.
Bibliographische Angaben
- Autoren: Alexandre M. J. -C. Wadoux , Brendan Malone , Budiman Minasny , Mario Fajardo , Alex B. McBratney
- 2021, 1st ed. 2021, 247 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030648966
- ISBN-13: 9783030648961
- Erscheinungsdatum: 25.02.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 21 MB
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- Vorlesefunktion
Sprache:
Englisch
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