| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6445968 | Quaternary Science Reviews | 2015 | 15 Pages |
Abstract
In addition to the database and its associated data, new methods of data analysis for assessing correlations have been developed as part of the project. In particular an approach using multi-dimensional kernel density estimates to evaluate the likelihood of tephra compositions matching is described here and tested on data generated as part of the RESET project.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Geology
Authors
Christopher Bronk Ramsey, Rupert A. Housley, Christine S. Lane, Victoria C. Smith, A. Mark Pollard,