Geology Spatial Data Mining Method for Regional Metallogenic Prediction
详细信息   
摘要

Spatial data mining (SDM) refers to extracting and "mining" the hidden,  implicit,  valid,  novel and interesting spatial or non-spatial patterns or rules from a large amount of,  incomplete,  noisy,  fuzzy,  random,  and practical spatial databases. At present, SDM mainly concentrates on the efficiency of mining algorithm itself. Another important issue-application in SDM-has not been paid much attention to. Geological data are typical spatial data, which include geological, geophysical, geochemical, and remote sensing data. The statistical and mathematical approaches that have developed recently for multi-resources geological spatial data integration include weights-of-evidence modeling, and the logistic regression modeling. The fuzzy logic model, artificial neural networks model and the fractal method have been applied in the prediction and assessment of mineral resources potential.


    

 


    

 

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