001434687 000__ 03395cam\a2200685\i\4500
001434687 001__ 1434687
001434687 003__ OCoLC
001434687 005__ 20230309003813.0
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001434687 007__ cr\un\nnnunnun
001434687 008__ 210225s2021\\\\sz\a\\\\ob\\\\000\0\eng\d
001434687 019__ $$a1243546394$$a1249944184$$a1264821094
001434687 020__ $$a9783030648961$$q(electronic bk.)
001434687 020__ $$a3030648966$$q(electronic bk.)
001434687 020__ $$z9783030648954
001434687 0247_ $$a10.1007/978-3-030-64896-1$$2doi
001434687 035__ $$aSP(OCoLC)1241066643
001434687 040__ $$aDKU$$beng$$erda$$epn$$cDKU$$dOCLCO$$dOCLCQ$$dYDXIT$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dLEATE$$dYDX$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001434687 049__ $$aISEA
001434687 050_4 $$aS593.2$$b.W33 2021
001434687 08204 $$a631.4/1$$223
001434687 1001_ $$aWadoux, Alexandre M. J.-C.,$$eauthor.
001434687 24510 $$aSoil spectral inference with R :$$banalysing digital soil spectra using the R programming environment /$$cAlexandre M.J.-C. Wadoux, Brendan Malone, Budiman Minasny, Mario Fajardo, Alex B. McBratney.
001434687 264_1 $$aCham :$$bSpringer,$$c[2021]
001434687 300__ $$a1 online resource (xv, 247 pages) :$$billustrations (some color)
001434687 336__ $$atext$$btxt$$2rdacontent
001434687 337__ $$acomputer$$bc$$2rdamedia
001434687 338__ $$aonline resource$$bcr$$2rdacarrier
001434687 347__ $$atext file
001434687 347__ $$bPDF
001434687 4901_ $$aProgress in soil science,$$x2352-4774
001434687 504__ $$aIncludes bibliographical references.
001434687 5050_ $$a1. Introduction -- 2. Getting Started with R -- 3. Material -- 4. Data Handling of Spectra -- 5. Pre-Processing of Spectra -- 6. Similarity between Spectra and the Detection of Outlier -- 7. Selection of the Calibration Sample -- 8. Estimating Soil Properties and Classes from Spectra -- 9. Spectral Transformation.
001434687 506__ $$aAccess limited to authorized users.
001434687 520__ $$aThis 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.
001434687 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 30, 2021).
001434687 650_0 $$aSoils$$xAnalysis.
001434687 650_0 $$aSpectrum analysis$$xComputer programs.
001434687 650_0 $$aAgriculture.
001434687 650_0 $$aEnvironmental monitoring.
001434687 650_0 $$aEarth sciences.
001434687 650_6 $$aSols$$xAnalyse.
001434687 650_6 $$aAgriculture.
001434687 650_6 $$aEnvironnement$$xSurveillance.
001434687 650_6 $$aSciences de la terre.
001434687 655_0 $$aElectronic books.
001434687 7001_ $$aMalone, Brendan P.,$$eauthor.
001434687 7001_ $$aMinasny, Budiman,$$eauthor.
001434687 7001_ $$aFajardo, Mario,$$eauthor.
001434687 7001_ $$aMcBratney, A. B.,$$eauthor.
001434687 77608 $$iPrint version: $$z9783030648954
001434687 77608 $$iPrint version: $$z9783030648978
001434687 77608 $$iPrint version: $$z9783030648985
001434687 830_0 $$aProgress in soil science.$$x2352-4774
001434687 852__ $$bebk
001434687 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-64896-1$$zOnline Access$$91397441.1
001434687 909CO $$ooai:library.usi.edu:1434687$$pGLOBAL_SET
001434687 980__ $$aBIB
001434687 980__ $$aEBOOK
001434687 982__ $$aEbook
001434687 983__ $$aOnline
001434687 994__ $$a92$$bISE