Abstract
The multivariate fuzzy-c-means classifier is used to model extended weight of evidence (WofE) considering predictor maps. Approaches to mineral potential mapping based on WofE modeling generally use binary maps, whereas, real-world geospatial data are mostly multi-class or fuzzy-class in nature. The consequent reclassification of fuzzy-class maps into binary maps is a simplification that might result in a loss of information. This research thus describes an extended WofE modeling for predicative mapping of gold deposit potential in Tourd-chah Shirin metallogenic zone, Semnan province, in north of Iran to demonstrate optimization of mineral potential information by using fuzzy-class predictor maps, as applied to the study area. The optimization of an extended WofE model using fuzzy-class predictor maps for the study area results in demarcation of the high, moderate and low favorability zones. Optimization was also obtained by constraining simple WofE model using only binary predictor maps with different levels of uncertainty for study area. A comparison between the results of the extended WofE model and field data indicates that little correlation exists between these two results.
Highlights
A Geographical Information System (GIS) is a computer based system which integrates the data input; data storage and management, data manipulation and analysis and data output for both spatial and attribute data to support decision-making activities Malczewski[5]
According to Bonham-Carter[1], the data integration models in GIS are divided into two categories, datadriven and knowledge-driven model based on different methods for estimation of weights of different evidential maps
In the case of mineral resources assessment, the evidence consists of a set evidential datasets and the models are used to predict the hypothesis about the occurrence of a given type of deposit in a study area
Summary
A Geographical Information System (GIS) is a computer based system which integrates the data input; data storage and management, data manipulation and analysis and data output for both spatial and attribute data to support decision-making activities Malczewski[5]. In the case of mineral resources assessment, the evidence consists of a set evidential datasets (maps) and the models are used to predict the hypothesis about the occurrence of a given type of deposit in a study area. A procedure for prediction of gold deposits using weights of evidence model in GIS and fuzzy c-means clustering together to integrate different evidential datasets, such as geological data, geophysical data, remote sensing and so on, described the results are evaluated. Hassanzadeh[10] suggested that the two belts were once a single arc but separated by intra-arc extension that started in the late Eocene Based on the latter view, the Alborz magmatic belt includes TorudChah Shiran and represents the northern half of the proto-arc. Ore in these localities occurred principally as veins in Cretaceous dolomitic limestones and consisted of quartz, calcite, galena, sphalerite and pyrite Shamanian[11]
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