TY  - GEN
AB  - 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.
AU  - Wadoux, Alexandre M. J.-C.,
AU  - Malone, Brendan P.,
AU  - Minasny, Budiman,
AU  - Fajardo, Mario,
AU  - McBratney, A. B.,
CN  - S593.2
DO  - 10.1007/978-3-030-64896-1
DO  - doi
ID  - 1434687
KW  - Soils
KW  - Spectrum analysis
KW  - Agriculture.
KW  - Environmental monitoring.
KW  - Earth sciences.
KW  - Sols
KW  - Agriculture.
KW  - Environnement
KW  - Sciences de la terre.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-64896-1
N2  - 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.
SN  - 9783030648961
SN  - 3030648966
T1  - Soil spectral inference with R :analysing digital soil spectra using the R programming environment /
TI  - Soil spectral inference with R :analysing digital soil spectra using the R programming environment /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-64896-1
ER  -