Keywords:
Soil science.
;
Environmental sciences Mathematics.
;
Environment.
;
Earth sciences.
;
Soil Science.
;
Mathematical Applications in Environmental Science.
;
Environmental Sciences.
;
Earth Sciences.
Description / 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.
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.
Type of Medium:
Online Resource
Pages:
XV, 247 p. 461 illus., 72 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9783030648961
Series Statement:
Progress in Soil Science,
URL:
https://doi.org/10.1007/978-3-030-64896-1
DOI:
10.1007/978-3-030-64896-1
DDC:
631.4
Language:
English
