Mapping multivariate ore occurrence data with correspondence analysis
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Abstract
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.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Mapping multivariate ore occurrence data with correspondence analysis |
| Year Published | 2021 |
| Language | English |
| Publisher | Geological Survey of Finland |
| Contributing office(s) | Geology, Energy & Minerals Science Center |
| Description | 4 p. |
| Larger Work Title | Abstract proceedings: Mineral prospectivity and exploration targeting – MinProXT 2021 webinar |
| First page | 63 |
| Last page | 66 |
| Conference Title | Mineral Prospectivity and Exploration Targeting – MinProXT 2021 Webinar |
| Conference Date | Oct 12-13, 2021 & Oct 26-27, 2021 |