Peterson, Dean M2021-06-012021-06-012001-12https://hdl.handle.net/11299/220293A Thesis [dissertation] submitted to the faculty of the Graduate School of the University of Minnesota by Dean M. Peterson in partial fulfillment of the requirements for the degree of Doctor of Philosophy, December 2001. This item includes three volumes. Volumes I and II are attached to this record as separate PDF files; Volume I contains the initial material (abstract, table of contents, etc.) and Chapters 1-6 while Volume II contains the same initial material, Chapters 7-10, bibliography, and appendices. Volume I has been modified from the original to redact the signatures present. Volume III consists of Plates 1-12, all attached to this record as separate TIFF files, as well as the Digital Appendix, attached to this record as a zipped folder (.zip) that contains digital GIS files (ArcView shapefiles).Detailed lode-gold (LG) and volcanogenic massive sulfide (VMS) deposit mineral potential maps have been developed from new mapping and compilation of a 2270 mi2 area of the Late Archean Wawa Subprovince of the Superior Province in northern Minnesota. The mineral potential maps have been developed by the integration of ore deposit models for lode-gold and volcanogenic massive sulfide deposits into an exhaustive geological, geochemical, and geophysical Geographical Information System (GIS) data compilation of the study area. In addition, detailed GIS geological compilations from the three largest lodegold mining camps of the Superior Province of Canada (the Hemlo, Timmins, and Kirkland Lake mining camps) have been completed, and are incorporated in the lode-gold mineral potential model. Methods used to predict mineral potential include both knowledge-driven (LG and VMS models) and data-driven (LG only) analysis of information derived from the new GIS geologic map compilations, and from databases of geochemical and geophysical data for the Minnesota study area. The mineral potential analysis includes the use of fuzzy logic techniques in ranking the importance of specific types of information derived from the ore deposit models. In addition, fuzzy logic techniques have been used in the digital overlay of hundreds of maps portraying specific geologic data, into the final LG and VMS maps showing base- and precious-metal mineral potential of the Minnesota study area.enUniversity of Minnesota DuluthDissertationsDoctor of PhilosophyDepartment of Earth and Environmental SciencesThesis or Dissertation