GEOSCAN, résultats de la recherche


TitreAnalysis of geochemical data for mineral exploration using a GIS: a case study from the Swayze greenstone belt, northern Ontario, Canada
AuteurHarris, J R; Wilkinson, L; Bernier, M
SourceDrift exploration in glaciated terrain; par McClenaghan, M B (éd.); Bobrowsky, P T (éd.); Hall, G E M (éd.); Cook, S J (éd.); Geological Society, Special Publication 185, 2001 p. 165-200,
Séries alt.Commission géologique du Canada, Contributions aux publications extérieures 1999211
ÉditeurGeological Society of London
Documentpublication en série
Mediapapier; en ligne; numérique
SNRC41O/09; 41O/10; 41O/15; 41O/16
Lat/Long OENS -83.0000 -82.0000 48.0000 47.5000
Sujetsanalyses géochimiques; interprétations géochimiques; zinc; cuivre; analyses de till; géochimie du till; échantillons de sol; géochimie du sol; profils de dispersion; anomalies géochimiques; Ceinture de Swayze Greenstone ; système d'information géographique; géochimie; géomathématique
Illustrationssketch maps; plots
Diffusé2001 01 01
Résumé(disponible en anglais seulement)
Geographic Information Systems (GIS) provide the geologist with a powerful tool, when used in concert with statistical and geostatistical analysis, for archiving, manipulating, analysing and visualizing geochemical data. This paper uses geochemical (Zn, Cu) data obtained from various media (rock, lake sediments, till, soil and humus) over the Swayze greenstone belt in northern Ontario, to explore methods for analysing and visualizing geochemical data with a focus to mineral exploration applications.
The behaviour of Zn and Cu in both bedrock and the surficial environment is studied using statistical and geostatistical techniques. Interpretation and uses of traditional statistics and dot plots are contrasted with interpolated geochemical maps as well as red-green-blue (RGB) ternary maps. Techniques for multimedia comparison and geochemical anomaly detection and screening are presented. The processing methods presented in this paper can be utilized and adapted by other geologists for exploring their own geochemical data. Many of the algorithms presented here are available within standard GIS software packages, or can be written easily using a GIS macro language.