Article
Open Access
A case study for the integration of predictive mineral potential maps
-
Saro Lee
,
Hyun-Joo Oh
Published/Copyright:
August 6, 2014
Published Online: 2014-8-6
Published in Print: 2014-9-1
© 2014 Versita Warsaw
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Keywords for this article
GIS;
likelihood ratio;
weight of evidence;
logistic regression;
artificial neural network;
mineral potential mapping
Creative Commons
BY-NC-ND 3.0
Articles in the same Issue
- Dispersion modeling of air pollutants in the atmosphere: a review
- Analysis on spatial distribution characteristics and geographical factors of Chinese National Geoparks
- The climate of Carpathian Region in the 20th century based on the original and modified Holdridge life zone system
- Architecture of Upper Cretaceous rhyodacitic hyaloclastite at the polymetallic Madneuli deposit, Lesser Caucasus, Georgia
- The spatial distribution pattern of heavy metal concentrations in urban soils — a study of anthropogenic effects in Berehove, Ukraine
- Statistical analysis of soil moisture content changes in Central Europe using GLDAS database over three past decades
- Current trends in formats and coordinate transformations of geospatial data — based on MyGeoData Converter
- Assessment of surface runoff depth changes in Sǎrǎţel River basin, Romania using GIS techniques
- A case study for the integration of predictive mineral potential maps
- Electrofacies in gas shale from well log data via cluster analysis: A case study of the Perth Basin, Western Australia
- Prediction of earthquake hazard by hidden Markov model (around Bilecik, NW Turkey)
