Soil Spectral Inference with R Analysing Digital Soil Spectra using the R Programming Environment için kapak resmi
Soil Spectral Inference with R Analysing Digital Soil Spectra using the R Programming Environment
Başlık:
Soil Spectral Inference with R Analysing Digital Soil Spectra using the R Programming Environment
ISBN:
9783030648961
Edition:
1st ed. 2021.
Yayın Bilgileri:
Cham : Springer International Publishing : Imprint: Springer, 2021.
Fiziksel Tanımlama:
XV, 247 p. 461 illus., 72 illus. in color. online resource.
Series:
Progress in Soil Science,
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.
Abstract:
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.
Dil:
English