The Metallogenic Map of the Erzgebirge/Vogtland area was created within the frame of the project WISTAMERZ, aiming at the development of advanced methods for predicting the rare and high-tech metals potential (RHTM, such as Ga, Ge, In, Li, Sb, Se, Sn, Ta, Te, W) in large areas. As an example, the famous Erzgebirge/Vogtland area, well-known for centuries for its mineral wealth, was selected. New geochemical data were gathered by a multi-element stream-sediment survey and combined with portable XRF technologies for on-site identification of hard-to-find disseminated and oxidized mineralisation. New unconventional RHTM mineralisations have been detected within low-grade geochemical anomalies and in rocks previously regarded as non-prospective. New exploration models have been developed. The combination of lower Paleozoic sedimentary and rifting related hydrothermal/volcanogenic processes is recognised as the key precondition for the metallogenic predisposition of the large Erzgebirge mining region. Processes of collision-related metamorphic re-distribution of metals and their assimilation during processes of formation of melts and granitic intrusion led to the formation of a wide range of mineral occurrences of different shape and structural position, from stratiform, granite-related high temperature formations, and structure-controlled hydrothermal veins to Mesozoic and Cenozoic placers. Late small intrusions led to a further re-distribution of metals within large metalliferous intrusives into breccia pipes and their environment even deep inside of big granite batholiths. Iron bearing metalliferous sediments were transformed into metamorphic and contact-metamorphic skarns with rich Sn and W mineralisation. The metallogenic model positions the different mineral deposit types into a logic chain of metallogenic events forming within a history of almost 450 M years. As an important practical consequence the reviewed metallogenic concepts open the doors for new discoveries of RHTM occurrences especially in the following environments: · Geochemical anomalies of Au, Sb, Bi, In, Li, Sn, W · Meta-sediments with/without reactive rocks, especially on top of hidden granite intrusives · Breccia pipes and structures within bigger granite batholites on top of small intrusions Using a combination of knowledge-based (exploration models) and data driven methods (artificial neural networks) mineral predictive maps have been calculated for key mineralisation types.weiterlesen