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210312 ||| eng |
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|a 9783030648961
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100 |
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|a Wadoux, Alexandre M.J.-C.
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245 |
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|a Soil Spectral Inference with R
|h Elektronische Ressource
|b Analysing Digital Soil Spectra using the R Programming Environment
|c by Alexandre M.J.-C. Wadoux, Brendan Malone, Budiman Minasny, Mario Fajardo, Alex B. McBratney
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250 |
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|a 1st ed. 2021
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260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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300 |
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|a XV, 247 p. 461 illus., 72 illus. in color
|b online resource
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505 |
0 |
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|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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653 |
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|a Environmental monitoring
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653 |
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|a Agriculture
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653 |
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|a Environment
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653 |
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|a Earth Sciences, general
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653 |
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|a Earth sciences
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653 |
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|a Agriculture
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653 |
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|a Monitoring/Environmental Analysis
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653 |
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|a Environment, general
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700 |
1 |
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|a Malone, Brendan
|e [author]
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700 |
1 |
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|a Minasny, Budiman
|e [author]
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700 |
1 |
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|a Fajardo, Mario
|e [author]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a Progress in Soil Science
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-64896-1?nosfx=y
|x Verlag
|3 Volltext
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082 |
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|a 630
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520 |
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|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
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