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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
Title Mapping multivariate ore occurrence data with correspondence analysis
DOI
Authors Joshua Mark Rosera
Publication Type Conference Paper
Publication Subtype Conference Paper
Series Title
Series Number
Index ID 70226952
Record Source USGS Publications Warehouse
USGS Organization Geology, Energy & Minerals Science Center

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