Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment (Progress in Soil Science) - Tapa dura

Libro 13 de 14: Progress in Soil Science

Wadoux, Alexandre M.J.-C.; Malone, Brendan; Minasny, Budiman

 
9783030648954: Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment (Progress in Soil Science)
Tapa dura
ISBN 10: 3030648958 ISBN 13: 9783030648954
Editorial: Springer, 2021

Sinopsis

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.

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Acerca del autor

Alexandre Wadoux is Research Associate in soil science at the University of Sydney and member of the Sydney Institute of Agriculture, Australia. Brendan Malone is Senior Research Scientist in soil science at CSIRO Canberra, Australia. Budiman Minasny is Professor in soil-landscape modelling at the University of Sydney, Australia. Mario Fajardo is Postdoctoral Research Fellow at the Precision Agriculture Laboratory of the University of Sydney, Australia. Alex McBratney is Professor of Digital Agriculture & Soil Science at the University of Sydney and Director of the Sydney Institute of Agriculture, Australia.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030648958
ISBN 13 
9783030648954
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
264
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Otras ediciones populares con el mismo título

9783030648985: Soil Spectral Inference with R: Analysing Digital Soil Spectra using the R Programming Environment (Progress in Soil Science)

Edición Destacada

ISBN 10:  3030648982 ISBN 13:  9783030648985
Editorial: Springer, 2022
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