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- 저자 : Adamu L. Musa (검색결과 1 건)
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A bivariate statistical analysis for coal exploration within parts of the Anambra Basin in Nigeria
Adamu L. Musa,Andongma W. Tende,Jiriko N. Gajere,Mazadu D. Bako,Fatima Shinkafi,Mohammed D. Aminu 대한공간정보학회 2022 Spatial Information Research Vol.30 No.3
The Anambra Basin is rich in coal, and can be investigated regionally using predictive models developed with Geographic Information System (GIS). Several spatial and statistical approaches were employed in this study to determine the most prospective location for coal deposits, with a focus on accuracy and reliability. The relationship between coal occurrence and evidential data was assessed using the prediction area plot analysis, and coal predictive maps were developed using bivariate statistical models such as the Evidential Belief function (EBF), Statistical Index (SI), and Frequency Ratio (FR) models. The accuracy of all predictive models was assessed using the Receiver Operating/Area Under Curve (ROC/AUC) analysis. The application of prediction area plot analysis suggests a substantial correlation can be established between coal resources and spatial data on geology (0.75) and lineament density (0.74). Based on spatial data integration using bivariate models, the north-central and south-central parts of the study area have a high potential for coal occurrence. Comparatively, the very high potential class accounts for 5.3%, 3.64%, 7.14%, and 2.04%, respectively, in the EBF, Uncertainty, SI and FR models. Statistical validation using the ROC/AUC analysis demonstrated prediction accuracies of 83%, 79%, 78%, and 82%, respectively, for the belief, uncertainty, SI, and FR models. In general, GIS predictive modelling for coal resource exploration is strongly recommended in the Anambra Basin and other sedimentary basins with similar geological settings.
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