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
Buy this book
- 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.
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Soil Spectral Inference with R
- Book Subtitle
- Analysing Digital Soil Spectra using the R Programming Environment
- Authors
-
- Alexandre Wadoux
- Brendan Malone
- Budiman Minasny
- Mario Fajardo
- Alex B. McBratney
- 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
