[Prospectivity Models] Prospectivity models - clastic-dominated (CD) and Mississippi Valley-type (MVT) GeoTIFF grids for the United States, Canada, and Australia

GeoTiff grids of models of prospectivity for clastic-dominated (CD) and Mississippi Valley-type (MVT) Pb-Zn mineralization for the US and Canada (combined) and Australia that used data provided in this report are provided here. The models are the result of a study by Lawley and others (2022) that used a data-driven machine learning approach called Gradient Boosting to predict the mineral prospectivity for clastic-dominated (CD) and carbonate-hosted (MVT) deposits across the United States, Canada, and Australia. The study was part of a tri-national collaboration between the U.S. Geological Survey, the Canadian Geological Survey, and Geoscience Australia called the Critical Minerals Mapping Initiative. The original...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Australia, CMMI, Canada, Critical Minerals Mapping Initiative, Exploring for the Future Program, All tags... GA, GGGSC, GSC, Geological Survey of Canada, Geology, Geophysics, and Geochemistry Science Center, Geoscience Australia, MRP, MVT, Mineral Resources Program, Mississippi Valley-type, Pb-Zn, TGI, Targeted Geoscience Initiative, U.S. Geological Survey, USGS, United States, Zn-Pb, clastic dominated, critical minerals, geoscientificInformation, gradient boosting, lead, machine learning, metallic mineral resources, mineral prospectivity, mineral resources, prospectivity modelling, sedimentary basin, zinc, Fewer tags