Soil spectral inference with R : analysing digital soil spectra using the R programming environment
Author(s)
Bibliographic Information
Soil spectral inference with R : analysing digital soil spectra using the R programming environment
（Progress in soil science / series editors: Alfred E. Hartemink and Alex B. McBratney）
Springer, c2021
Available at / 2 libraries
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University Library for Agricultural and Life Sciences, The University of Tokyo図
613.58:W125011305389
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Note
Other authors: Brendan Malone, Budiman Minasny, Mario Fajardo, Alex B. McBratney
Includes bibliographical references
Description and Table of Contents
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.
Table of Contents
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.
by "Nielsen BookData"