Quantitative X-ray Map Analyser (Q-XRMA): A new GIS-based statistical approach to Mineral Image Analysis

We present a new ArcGIS®-based tool developed in the Python programming language for calibrating EDS/WDS X-ray element maps, with the aim of acquiring quantitative information of petrological interest. The calibration procedure is based on a multiple linear regression technique that takes into accou...

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Veröffentlicht in:	Computers & geosciences Jg. 115; S. 56 - 65
Hauptverfasser:	Ortolano, Gaetano, Visalli, Roberto, Godard, Gaston, Cirrincione, Rosolino
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2018 Elsevier
Schlagworte:	ArcGIS biotite calibration case studies computer software computers data collection energy-dispersive X-ray analysis geographic information systems image analysis Linear regression materials science Mineral formula quantification Numerical petrology plagioclase Python regression analysis Sciences of the Universe stoichiometry X-radiation Numerical petrology ArcGIS Mineral formula quantification Linear regression Python
ISSN:	0098-3004, 1873-7803
Online-Zugang:	Volltext
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