Catchment-based gold prospectivity analysis combining geochemical, geophysical and geological data across northern Australia by M. J. Cracknell, and P.

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Catchment-based gold prospectivity analysis combining geochemical, geophysical and geological data across northern Australia by M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis Volume 17(3):204-216 August 1, 2017 © 2017 Commonwealth of Australia (Geoscience Australia)‏

Map of Australia showing selected National Geochemical Survey of Australia (NGSA; Caritat & Cooper 2011a) sample locations (red points) and the 225 catchments selected for this study (grey polygons) overlain with the Australian river network (blue polylines) (Geoscience Australia 2003). Map of Australia showing selected National Geochemical Survey of Australia (NGSA; Caritat & Cooper 2011a) sample locations (red points) and the 225 catchments selected for this study (grey polygons) overlain with the Australian river network (blue polylines) (Geoscience Australia 2003). For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

Generalised geological regions (Blake & Kilgour 1998) across the study area, colour coded by age. Generalised geological regions (Blake & Kilgour 1998) across the study area, colour coded by age. For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

Generalised lithologies (Raymond & Gallagher 2012) across the study area, colour coded by type. Generalised lithologies (Raymond & Gallagher 2012) across the study area, colour coded by type. For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

Davies-Bouldin Index (DBI: Davies & Bouldin 1979) as a function of the number of merged SOM nodes for the 6 by 33 SOM model. Davies-Bouldin Index (DBI: Davies & Bouldin 1979) as a function of the number of merged SOM nodes for the 6 by 33 SOM model. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

Spatial distribution of the 19 catchment clusters for SOM map dimensions 6 by 33 and 198 nodes. Spatial distribution of the 19 catchment clusters for SOM map dimensions 6 by 33 and 198 nodes. For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

(a) 2D SOM map and Au component plane with division of final catchment clusters and (b) mean code-vector ratios for cluster Au concentration. (a) 2D SOM map and Au component plane with division of final catchment clusters and (b) mean code-vector ratios for cluster Au concentration. Five clusters display higher that one standard deviation from the mean (dashed line) code-vector ratio. For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

(a) Spatial distribution of clusters with mean Au concentration code-vector ratios greater than one standard deviation from the mean, and Au mines and mineral occurrences locations overlain on colour coded NGSA catchment centred log-ratio transformed Au concentration. (a) Spatial distribution of clusters with mean Au concentration code-vector ratios greater than one standard deviation from the mean, and Au mines and mineral occurrences locations overlain on colour coded NGSA catchment centred log-ratio transformed Au concentration. (b) NGSA catchment clusters with high Au mean code-vectors overlain on terrain slope. Note that clusters with high Au code-vector ratios are found immediately downstream of most Au mines at the break in slope. For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

Spatial distribution of catchments with high Au concentration (colour intensity indicates Au concentration rank, see Fig. 6) and neighbouring upstream catchment clusters 4, 6 and 9. Spatial distribution of catchments with high Au concentration (colour intensity indicates Au concentration rank, see Fig. 6) and neighbouring upstream catchment clusters 4, 6 and 9. For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏

Map of the spatial distribution of felsic intrusive rocks and medium- and high-grade metamorphic rocks. Map of the spatial distribution of felsic intrusive rocks and medium- and high-grade metamorphic rocks. Map overlain with catchment clusters 1 and 18. For interpretation of the references to colour in this figure, the reader is referred to the online version of this article. M. J. Cracknell, and P. de Caritat Geochemistry: Exploration, Environment, Analysis 2017;17:204-216 © 2017 Commonwealth of Australia (Geoscience Australia)‏