Soil Spectral Inference with R Analysing Digital Soil Spectra using the R Programming Environment

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,...

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Bibliographic Details
Main Authors: Wadoux, Alexandre M.J.-C., Malone, Brendan (Author), Minasny, Budiman (Author), Fajardo, Mario (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:Progress in Soil Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a 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 
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700 1 |a Malone, Brendan  |e [author] 
700 1 |a Minasny, Budiman  |e [author] 
700 1 |a Fajardo, Mario  |e [author] 
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520 |a 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