Mapping multivariate ore occurrence data with correspondence analysis
November 1, 2021
Correspondence analysis is a multivariate method that can be applied to mineral abundance data. Ore mineral assemblages from broadly underutilized prospect and occurrence data can be treated as geochemical anomalies, projected to low-dimensional space, and returned into map view. This approach could have applications for mineral prospectivity mapping and delineation of permissive areas during mineral assessments.
Citation Information
Publication Year | 2021 |
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Title | Mapping multivariate ore occurrence data with correspondence analysis |
Authors | Joshua Mark Rosera |
Publication Type | Conference Paper |
Publication Subtype | Conference Paper |
Index ID | 70226952 |
Record Source | USGS Publications Warehouse |
USGS Organization | Geology, Energy & Minerals Science Center |