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TitreInitial results of weights-of-evidence modelling to assess the mineral potential of the Lucas-Crawford area, Timmins, Ontario
AuteurHonarvar, P; Barrie, C T; Harris, J R
SourceGIS for the earth sciences; par Harris, J R (éd.); Geological Association of Canada, Special Paper 44, 2006 p. 99-114 (Accès ouvert)
LiensOnline - En ligne
Séries alt.Commission géologique du Canada, Contributions aux publications extérieures 2003204
ÉditeurAssociation géologique du Canada (St. John's, NL, Canada)
Documentpublication en série
Mediapapier; CD-ROM
Référence reliéeCette publication est contenue dans Harris, J R; (2006). GIS for the earth sciences, Geological Association of Canada, Special Paper vol. 44
Formatspdf (Adobe Reader)
SNRC42A/11; 42A/14
Lat/Long OENS -81.5000 -81.0000 49.0000 48.5000
Sujetstechniques de cartographie; cartographie par ordinateur; potentiel minier; établissement de modèles; modélisation numérique de terrain; ceintures de roche verte; gîtes sulfureux; modèles; géologie générale; géochimie; géomathématique; minéralogie
Illustrationslocation maps; geological sketch maps; tables; formulae; graphs
ProgrammeOntario Mineral Exploration Technologies (OMET) Program
Résumé(disponible en anglais seulement)
A mineral potential mapping study is presented to highlight the gold and base-metal potential in an area of thick glacial cover in the Abitibi Greenstone Belt of Ontario. This area is within 45 km of the prolific Porcupine gold district and with-in 15 km of the giant Kidd Creek volcanogenic massive sulfide deposit. Evidentiary geochemical, geological, and air-borne geophysical layers are compared to the spatial distribution of 39 mineral prospects, occurrences and one small deposit (geological resource of 150,000 metric tonnes at 0.10 oz./T Au) for a 10 by 20 km area, using a GIS-basedweights-of-evidence modelling technique. A simple binary evidentiary scheme is used for each data layer, where eachmulticlass map is analyzed by weights of evidence to determine the optimal threshold value for converting it to a binary map. Of the eleven layers considered, the layers with the highest spatial association with known mineral occurrences are fault buffers, apparent conductivity, magnetic field, Au index, EM x-coil decay constant, Eu anomaly values, Cu-Zn index and buffered contacts. These layers are then combined in a log-linear model using the weights-of-evidence method to build a mineral potential map. The final mineral potential map highlights three new target areas for gold and base-metal potential. The associated uncertainty map provides further information to prioritize the targets. This logical and systematic modelling exercise is an excellent, relatively unbiased procedure for developing new exploration targets in areas of thick glacial cover, where a significant number of occurrences or deposits are known within a study area