Machine learning classifiers for attributing tephra to source volcanoes: an evaluation of methods for Alaska tephras-Reference-Cited by-同舟云学术

Machine learning classifiers for attributing tephra to source volcanoes: an evaluation of methods for Alaska tephras

Published:2019-12-11 Issue:1-2 Volume:35 Page:81-92
ISSN:0267-8179
Container-title:Journal of Quaternary Science
language:en
Short-container-title:J. Quaternary Sci.

Author:

Bolton Matthew S. M.¹^ORCID,Jensen Britta J. L.¹^ORCID,Wallace Kristi²,Praet Nore³^ORCID,Fortin David⁴^ORCID,Kaufman Darrell⁵^ORCID,De Batist Marc³^ORCID

Affiliation:

1. Department of Earth and Atmospheric SciencesUniversity of Alberta Alberta Edmonton Canada

2. US Geological Survey/Volcano Science CenterAnchorage Alaska USA

3. Renard Centre of Marine Geology, Ghent UniversityGhent Belgium

4. Department of Geography and PlanningUniversity of SaskatchewanSaskatoon SK Canada

5. School of Earth & SustainabilityNorthern Arizona University Flagstaff Arizona USA

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Paleontology,Earth and Planetary Sciences (miscellaneous),Arts and Humanities (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jqs.3170

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3. A Chemical Classification of Volcanic Rocks Based on the Total Alkali-Silica Diagram

4. Using discriminant function analysis to identify Holocene tephras based on magnetite composition: a case study from the Sunwapta Pass area, Jasper National Park

5. Postglacial eruption history of Redoubt Volcano, Alaska

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