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Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment de Alexandre M.J.-C. Wadoux

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

Autor Alexandre M.J.-C. Wadoux, Brendan Malone, Budiman Minasny, Mario Fajardo, Alex B. McBratney
en Limba Engleză Paperback – 26 feb 2022
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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Specificații

ISBN-13: 9783030648985
ISBN-10: 3030648982
Ilustrații: XV, 247 p. 461 illus., 72 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.37 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Progress in Soil Science

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

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