Regional Metallogenic Analysis, Resources Targeting and Assessment

This book summarises the technology for resources targeting and assessment and provides six types of prediction and assessment methods which will guide researchers engaged in teaching, resource prediction, and assessment. The book consists of three parts: Part 1 details mineral systems with examples from China, Part 2 deals with data processing (e.g. geological, geophysical, geochemical, remote sensing), and Part 3 provides specific examples from China. The book also includes a database of the 25 major minerals systems occurring in China. The database is based on multiple GIS layers, including 1:200,000 geological, geochemical, and geophysical maps and remote sensing images. These data are the outcome of a major survey that was conducted in China from 2006 to 2013 and that had as main objective to define criteria that can be used to assess and target mineral resources on a country-scale.

Prof. Keyan Xiao is associated with the Institute of Mineral Resources (IMR) at the Chinese Academy of Geological Sciences (CAGS). He is the Director of the Metallogenic Prospective Division and Deputy of the Key Laboratory of Metallogeny and Mineral Assessment Division of the IMR. He also holds the position of Secretary-General of the Metallogeny and Mineral Prediction Center at China Geological Survey (CGS), Deputy Director of the Mathematical Geology Professional Committee at CGS, and Vice-Chairman of the International Society of Geomathematics in China. Prof. Xiao’s research interests are mathematical geology and mineral resource prediction and assessment. He has published five books and over 100 co-authored papers on mineral prospectivity and has been awarded several times by the Ministry of Land and Resources (MLR) for his work on predicting the location of mineral deposits throughout China.