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Soil spectral inference with R = ana...

Wadoux, Alexandre M.J.-C.

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Soil spectral inference with R = analysing digital soil spectra using the R programming environment /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soil spectral inference with R/ by Alexandre M.J.-C. Wadoux ... [et al.].
其他題名:	analysing digital soil spectra using the R programming environment /
其他作者:	Wadoux, Alexandre M.J.-C.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xv, 247 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Soils - Analysis. -
電子資源:	https://doi.org/10.1007/978-3-030-64896-1
ISBN:	9783030648961

Soil spectral inference with R = analysing digital soil spectra using the R programming environment /
Soil spectral inference with Ranalysing 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

Standard No.: 10.1007/978-3-030-64896-1doiSubjects--Topical Terms:

656508
Soils
--Analysis.

LC Class. No.: S593.2

Dewey Class. No.: 631.41

Soil spectral inference with R = analysing digital soil spectra using the R programming environment /
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