Cost: US$ 207. Limit: 20. CEUs: 1.6
Instructors: Alok Porwal, Indian Institute of Technology Bombay Mumbai; Bijal Chudasama, Indian Institute of Technology Bombay Mumbai
Abstract: This short course aims at giving a quick-start to GIS-based mineral potential modeling—a desktop exploration targeting tool used for narrowing down search areas for ground exploration. It would provide the relevant theoretical background and demonstrate important GIS tools and advanced functions that are used for modeling. Special emphasis will be laid on innovative ways of extracting relevant geoscientific information regarding mineralization processes from public domains exploration datasets. The course would involve lectures, demonstration, exercises, and case studies. Course material would be provided in hard copy as well as soft copy. The short course would be conducted in three modules over two days, as follows: Module 1, Day 1, Session 1—Before lunch: Introduction to model-based mineral potential mapping in a GIS environment, the rationale, concepts, components, inputs, and outputs. Spatial data analysis in GIS: Spatial data models and management, elements of geo-processing spatial query and conditional evaluation, reclassification, distance and density estimations, transformations, interpolations and neighborhood operations, map algebra and mathematical operations, map overlay.
Module 2, Day 1, Session 2—After lunch: Selection of model inputs, conceptual modeling of mineral systems, identification of targeting criteria, identification and generating derivative input map layers, quantification of spatial associations, exploratory spatial data analysis, hypothesis testing. Module 3, Day 2 Sessions 1 and 2—Model-based integration of input spatial data: knowledge-driven, data-driven, and hybrid models, linear and non-linear models: Fuzzy Inference Systems, Weights of Evidence models, and Machine learning. Validation, interpretation and evaluation of output resource potential maps.