Application of GIS in mineral exploration 1300-WM-ZGISGP
Block I:
Classes start with introduction to case study area and setting the objectives with a special emphasis on specific geological setting.
At the stage of workflow planning it is crucial to understand which geological features determine occurrence, spatial continuity of ore bodies and their potential resources.
Therefore, it is critical to propose knowledge-driven model of deposit. Subjective cut-off criteria will be applied to identify perspective and non-perspective areas. Knowledge-based model determines the selection of appropriate factor maps which are both direct and implicit indicators of perspective areas as well.
The final outcome of mineral potential mapping exercise is a set of alternative and equi-probable maps of perspective ore zones.
Factor maps are integrated using inference network which simulates thinking process of geoscientist. During the course students will be familiarized with mathematical foundations of selected data aggregation methods, such as Weighted Overlay, Fuzzy Logic and Weights of Evidence.
Blok II:
The second block will start with introduction to basic syntax of the SQL language, data types and basic build-in functions. Next, students become familiar with the more advanced SQL scripting for analysis of regionalized GIS data, based on POSTGIS tab in RDBMS PostgreSQL. SQL will be applied to geological data, demonstrating how server calculations work.
In the final stage, students will practice application of Python in the automation of ArcGIS operations using the ArcPy module.
Type of course
Prerequisites (description)
Course coordinators
Learning outcomes
After mastering the knowledge conveyed within the exercise, the student:
• proposes appropriate suit of factor maps derived from knowledge-based model to solve specific case study.
• is familiar with fundamentals of data aggregation, such as Weighted Overly, Fuzzy Logic and Weights of Evidence.
• knows the limitations of application of above mention methods.
• is capable to prepare factor maps of geological features related with perspective zones, mineral potential and land accessibility constraints for mining.
• performs qualitative analysis of outcome maps and indicate the premises for the possible occurrence of the ore zones.
• uses SQL to analyze GIS data assemblages
• knows how to use Python to create script for the automation of the GIS processes.
Assessment criteria
The students' progress will be systematically verified by the instructor and taken into account when assigning the final grade. Additionally students are required to submit a final report.
The final grade depends on a single-handed project prepared at the end of the course. The main prerequisite of evaluation of student skills is class attendance. Student cannot exceed two excused absences. Grade changes or corrections are made on the basis of test consisting of two tasks.
Practical placement
none
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: