| Presentation Detail
Phylogenetics, Methods and Theory Smits, Peter D [1], Angielczyk, Kenneth D [2], Parham, James F [3]. How cryptic is cryptic diversity? Machine learning approaches to fine scale variation in the morphology of Emys marmorata.
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1 - University of Chicago, Committee on Evolutionary Biology, 1025 E. 57th Street, Culver Hall 402, Chicago, IL, 60637, USA
2 - Field Museum of Natural History, Department of Geology, Field Museum of Natural History, 1400 South Lake Shore Drive, Chicago, IL, 60605, USA
3 - John D. Cooper Archaeology and Paleontology Center, Department of Geological Sciences, California State University, Fullerton, CA, 92834, USA
Keywords:
morphology
machine learning
Cryptic Species
Geometric morphometrics.
Presentation Type: Regular Oral Presentation
Session: 64
Location: Cotton A/Snowbird Center
Date: Sunday, June 23rd, 2013
Time: 10:30 AM
Number: 64001
Abstract ID:425
Candidate for Awards:None |
