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Books > Earth & environment > Earth sciences > Geology & the lithosphere > Soil science, sedimentology

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Soil Spectral Inference with R - Analysing Digital Soil Spectra using the R Programming Environment (Paperback, 1st ed. 2021) Loot Price: R4,684
Discovery Miles 46 840
Repayment Terms: R439 pm x 12*
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Soil Spectral Inference with R - Analysing Digital Soil Spectra using the R Programming Environment (Paperback, 1st ed. 2021):...

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

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

Series: Progress in Soil Science

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Loot Price R4,684 Discovery Miles 46 840 | Repayment Terms: R439 pm x 12*

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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
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LSN: 3-03-064898-2
Barcode: 9783030648985

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