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A Spatial Measurement and Statistics Method to Forecast Ore Deposits

This study used spatial measurement and statistics methods to investigate spatial relationship between ore deposits and fractures in Liaoning province of China. Firstly, bivariate J function found that the ore deposits have a clustering trend around the fractures. Secondly, a conditional intensity formula for ore deposits based on Poisson process was used to model the ore deposits spatial dependence on the fractures, and the formula of model was fitted in statistics software called R. Finally, the fitted model was used to predict high intensity areas of buried ore deposits based on locations of visible fractures, which could be used to guide ore deposit exploration.