| Title | Initial results of weights-of-evidence modelling to assess the mineral potential of the Lucas-Crawford area, Timmins, Ontario |
| |
| Author | Honarvar, P; Barrie, C T; Harris, J R |
| Source | GIS for the earth sciences; by Harris, J R (ed.); Geological Association of Canada, Special Paper 44, 2006 p. 99-114  Open Access |
| Links | Online - En ligne
|
| Year | 2006 |
| Alt Series | Geological Survey of Canada, Contribution Series 2003204 |
| Publisher | Geological Association of Canada (St. John's, NL, Canada) |
| Document | serial |
| Lang. | English |
| Media | paper; CD-ROM |
| Related | This publication is contained in GIS for the earth sciences
|
| File format | pdf (Adobe Reader) |
| Province | Ontario |
| NTS | 42A/11; 42A/14 |
| Area | Lucas-Crawford area; Timmins |
| Lat/Long WENS | -81.5000 -81.0000 49.0000 48.5000 |
| Subjects | general geology; geochemistry; mathematical and computational geology; mineralogy; mapping techniques; computer mapping; mineral potential; modelling; digital terrain modelling; greenstone belts;
sulphide deposits; models |
| Illustrations | location maps; geological sketch maps; tables; formulae; graphs |
| Program | Ontario Mineral Exploration Technologies
(OMET) Program |
| Abstract | 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 |
| GEOSCAN ID | 224113 |
|
|