Predictive spatial models for mineral potential mapping
Modelling and prediction of spatially distributed data such as the secondary cassiterite mineral distributions are often affected by spatial autocorrelation (SAC); a phenomenon that violates attributes data independence in space, which leads to type1 errors in classical statistics and overfitting or...
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University of Leeds
2016
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Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.705976 |