Title: Earth Analytics - Application of Machine Learning and Data Analytics to Applied Geoscience
Researcher: Dr Christopher Burbidge
This project involves applying data analytics and machine learning techniques to the organization and interrelationships between different large data sets involved in a number of ongoing geoscience research projects dealing primarily with mineral exploration both in the Irish Midlands for Zn-Pb deposits and in the Central African Copperbelt for Cu-Co deposits. The data sets comprise geological, geochemical, and diverse geophysical data sets, including traditional reflection and possibly passive seismic data, from scales ranging from the microscopic to regional (country scale), in addition to other data sets such as elevation, earth satellite data, hydrologic data, and data from geography and other social sciences.