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Progress in Soil Science
cover

Soil Spectral Inference with R

Analysing Digital Soil Spectra using the R Programming Environment

Authors: Wadoux, A., Malone, B., Minasny, B., Fajardo, M., McBratney, A.B.

  • Numerous step-by-step tutorials to process soil spectral data
  • Beginner to advanced processing of soil infrared data
  • Fully reproducible figures and results
  • Simple and intuitive explanations on using soil spectral data
  • Include data from past authors research
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Buy this book

eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: March 5, 2021
  • ISBN 978-3-030-64896-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 145,59 €
price for Spain (gross)
About this book

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.

About the authors

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.

Buy this book

eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: March 5, 2021
  • ISBN 978-3-030-64896-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 145,59 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Soil Spectral Inference with R
Book Subtitle
Analysing Digital Soil Spectra using the R Programming Environment
Authors
Series Title
Progress in Soil Science
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-64896-1
DOI
10.1007/978-3-030-64896-1
Hardcover ISBN
978-3-030-64895-4
Series ISSN
2352-4774
Edition Number
1
Number of Pages
XV, 240
Number of Illustrations
460 b/w illustrations
Topics