
Soil Spectral Inference with R
Analysing Digital Soil Spectra using the R Programming Environment
Springer (Publisher)
Published on 26. February 2021
Book
Hardback
XV, 247 pages
978-3-030-64895-4 (ISBN)
Description
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.
More details
Product info
Book
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
72
389 s/w Abbildungen, 72 farbige Abbildungen
XV, 247 p. 461 illus., 72 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 20 mm
Weight
565 gr
ISBN-13
978-3-030-64895-4 (9783030648954)
DOI
10.1007/978-3-030-64896-1
Schweitzer Classification
Other editions
Additional editions

Alexandre M.J.-C. Wadoux | Brendan Malone | Budiman Minasny
Soil Spectral Inference with R
Analysing Digital Soil Spectra using the R Programming Environment
Book
02/2022
Springer
€181.89
Shipment within 7-9 days

Alexandre M.J.-C. Wadoux | Brendan Malone | Budiman Minasny
Soil Spectral Inference with R
Analysing Digital Soil Spectra using the R Programming Environment
E-Book
02/2021
1st Edition
Springer
€171.19
Available for download
Persons
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.
Content
1. Introduction.- 2. Getting Started with R.- 3. Material.- 4. Data Handling of Spectra.- 5. Pre-Processing of Spectra.- 6. Similarity between Spectra and the Detection of Outlier.- 7. Selection of the Calibration Sample.- 8. Estimating Soil Properties and Classes from Spectra.- 9. Spectral Transformation.