Soil Spectral Inference with R - Analysing Digital Soil Spectra using the R Programming Environment (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Progress in Soil Science
Release date:	February 2022
First published:	2021
Authors:	Alexandre M.J.-C. Wadoux • Brendan Malone • Budiman Minasny • Mario Fajardo • Alex B. McBratney
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	247
Edition:	1st ed. 2021
ISBN-13:	978-3-03-064898-5
Categories:	Books > Earth & environment > The environment > General Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring Books > Professional & Technical > Agriculture & farming > Agricultural science Books > Earth & environment > Earth sciences > Geology & the lithosphere > Soil science, sedimentology
LSN:	3-03-064898-2
Barcode:	9783030648985

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