Geologically Constrained Probabilistic Mapping of Gold Potential, Baguio District, Philippines |
| |
| Authors: | Emmanuel John M Carranza Martin Hale |
| |
| Institution: | (1) Mines and Geosciences Bureau, Regional Office No. 5, Daraga, Albay, Philippines;(2) International Institute for Aerospace Survey and Earth Sciences (ITC), The Netherlands;(3) Delft University of Technology, The Netherlands |
| |
| Abstract: | Binary predictor patterns of geological features are integrated based on a probabilistic approach known as weights of evidence modeling to predict gold potential. In weights of evidence modeling, the log
e
of the posterior odds of a mineral occurrence in a unit cell is obtained by adding a weight, W
+ or W
– for presence of absence of a binary predictor pattern, to the log
e
of the prior probability. The weights are calculated as log
e
ratios of conditional probabilities. The contrast, C = W
+ – W
–, provides a measure of the spatial association between the occurrences and the binary predictor patterns. Addition of weights of the input binary predictor patterns results in an integrated map of posterior probabilities representing gold potential. Combining the input binary predictor patterns assumes that they are conditionally independent from one another with respect to occurrences. |
| |
| Keywords: | Bayesian probability weights of evidence spatial association mineral potential mapping Baguio gold district (Philippines) |
| 本文献已被 SpringerLink 等数据库收录！ |
|
