Ford, Arianne (2013) Uncertainty in GIS-based prospectivity mapping in greenfields and undercover terranes. In: Proceedings of the 12th Biennial SGA Meeting. pp. 464-467. From: 12th Biennial SGA Meeting, 12-15 August 2013, Uppsala, Sweden.

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Abstract

Given the potential for the discovery of significant mineral deposits in greenfields terranes, as well as undercover, the methods used for GIS-based prospectivity mapping must be examined and adapted to address the challenges faced with exploration in these regions. As the quality of a prospectivity map can be dependent on both the understanding of a mineral system as well as the quality and quantity of the input datasets, the issue of how to quantify uncertainties must be addressed. Uncertainties may arise from the mathematical models used, data quality issues, and human bias. While mathematical uncertainties can generally be quantified using different statistical measures, it is more difficult to quantify the uncertainty related to human bias and data quality. Different methods for data interpretation and analysis are investigated to reduce the degree of uncertainty and to measure this value in a quantitative way when undertaking a prospectivity mapping exercise.

Item ID:	40033
Item Type:	Conference Item (Presentation)
ISBN:	978-91-7403-207-9
Related URLs:	Organisation
Additional Information:	Keynote address.
Date Deposited:	22 Aug 2015 05:46
FoR Codes:	04 EARTH SCIENCES > 0403 Geology > 040312 Structural Geology @ 15% 04 EARTH SCIENCES > 0403 Geology > 040399 Geology not elsewhere classified @ 70% 04 EARTH SCIENCES > 0404 Geophysics > 040499 Geophysics not elsewhere classified @ 15%
SEO Codes:	84 MINERAL RESOURCES (excl. Energy Resources) > 8401 Mineral Exploration > 840105 Precious (Noble) Metal Ore Exploration @ 100%
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