Alexandre M.J.-C. Wadoux Brendan Malone Budiman Minasny Mario Fajardo Alex B. McBratney Wadoux Soil Spectral Inference with R

Soil Spectral Inference with R

von Alexandre M.J.-C. Wadoux Brendan Malone Budiman Minasny Mario Fajardo Alex B. McBratney

Analysing Digital Soil Spectra using the R Programming Environment

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Beschreibung

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.
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.
Numerous step-by-step tutorials to process soil spectral data Beginner to advanced processing of soil infrared data Fully reproducible figures and results Simple and intuitive explanations on using soil spectral data Include data from past authors research

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Alexandre M.J.-C. Wadoux

Themen in »Soil Spectral Inference with R«

Numerous step-by-step tutorials to process soil spectral data Fully reproducible figures and results presented in the book Simple and intuitive explanations on using soil spectral data Include data from past authors research Beginner to advanced processing of soil infrared data

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Details

ISBN: 9783030648985
Verlag: Springer International Publishing
Erscheinung: 26.02.2022

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