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Soil spectral inference with Ranalys...
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SpringerLink (Online service)
Soil spectral inference with Ranalysing digital soil spectra using the R programming environment /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Soil spectral inference with Rby Alexandre M.J.-C. Wadoux ... [et al.].
Reminder of title:
analysing digital soil spectra using the R programming environment /
other author:
Wadoux, Alexandre M.J.-C.
Published:
Cham :Springer International Publishing :2021.
Description:
xv, 247 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
SoilsAnalysis.
Online resource:
https://doi.org/10.1007/978-3-030-64896-1
ISBN:
9783030648961$q(electronic bk.)
Soil spectral inference with Ranalysing digital soil spectra using the R programming environment /
Soil spectral inference with R
analysing digital soil spectra using the R programming environment /[electronic resource] :by Alexandre M.J.-C. Wadoux ... [et al.]. - Cham :Springer International Publishing :2021. - xv, 247 p. :ill. (some col.), digital ;24 cm. - Progress in soil science,2352-4774. - Progress in soil science..
1. Introduction -- 2. Getting Started with R -- 3. Material -- 4. Data Handling of Spectra -- 5. Pre-Processing of Spectra -- 6. Similarity between Spectra and the Detection of Outlier -- 7. Selection of the Calibration Sample -- 8. Estimating Soil Properties and Classes from Spectra -- 9. Spectral Transformation.
This book provides a didactic overview of techniques for inferring information from soil spectroscopic data, and the codes in the R programming language for performing such analyses. It is intended for students, researchers and practitioners looking to infer soil information from spectroscopic data, focusing mainly on, but not restricted to, the infrared range of the electromagnetic spectrum. Little prior knowledge of the R programming language or digital soil spectra is required. We work through the steps to process spectroscopic data systematically.
ISBN: 9783030648961$q(electronic bk.)
Standard No.: 10.1007/978-3-030-64896-1doiSubjects--Topical Terms:
338382
Soils
--Analysis.
LC Class. No.: S593.2
Dewey Class. No.: 631.41
Soil spectral inference with Ranalysing digital soil spectra using the R programming environment /
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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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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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Earth and Environmental Science (SpringerNature-11646)
based on 0 review(s)
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EB S593.2 .S683 2021 2021
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-64896-1
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