03 خرداد 1403
مهيار يوسفي

مهیار یوسفی

مرتبه علمی: دانشیار
نشانی:
تحصیلات: دکترای تخصصی / مهندسی معدن-اکتشافات معدن
تلفن:
دانشکده: دانشکده فنی مهندسی

مشخصات پژوهش

عنوان
Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Mineral exploration targeting Geographic information system (GIS) Exploration Information System (EIS) Future issues
سال
2021
مجله JOURNAL OF GEOCHEMICAL EXPLORATION
پژوهشگران مهیار یوسفی

چکیده

Mineral exploration targeting is a highly complex decision-making task. Two key risk factors, the quality of exploration data and robustness of the underlying conceptual targeting model, have a strong impact on the effectiveness of this decision-making. Geographic information systems (GIS) can be used not only for compiling, integrating, interrogating and interpreting diverse exploration data, but also for targeting by employing powerful mathematical algorithms, an approach that is commonly referred to as mineral potential modelling or mineral prospectivity mapping (MPM). Here, we pose and examine key aspects around the question of “how can we get better at mineral exploration targeting using GIS?” We do this by (1) reviewing the fundamental aspects of MPM, (2) identifying significant deficiencies of MPM, and (3) discussing possible solutions to alleviating or eliminating these deficiencies. In particular, we discuss how these deficiencies can be overcome by adopting an intelligence amplification system, such as the recently proposed exploration information system (EIS) for translating critical oreforming processes into spatially predictive criteria (i.e., predictor maps and spatial proxies) and improving decision-making in mineral exploration targeting.