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Robert Anemone
PeerJ Author & Reviewer
170 Points

Contributions by role

Author 100
Reviewer 70

Contributions by subject area

Anthropology
Evolutionary Studies
Paleontology
Data Mining and Machine Learning
Spatial and Geographic Information Science

Robert L Anemone

PeerJ Author & Reviewer

Summary

My major research interest is in the evolution of primates and other mammals in North America during the Paleocene and Eocene Epochs (ca. 66 to 34 mya), and my primary field site is the Great Divide Basin of southwestern Wyoming, although I have also done fieldwork in the Miocene of Kenya and Mozambique, and the Plio-Pleistocene of South Africa. In recent years my colleague Jay Emerson (Western Michigan University) and I have been exploring the use of remote sensing imagery and other tools from the geographic information sciences in vertebrate paleontology and paleoanthropology. In effect, we are attempting to create a new, geospatially informed, vertebrate paleontology that we refer to as Geospatial Paleontology. With NSF funding (2012-2015) we developed and testing predictive models for paleontological site location in Wyoming based on a variety of different artificial intelligence approaches to the classification of satellite imagery. We are also testing the utility of unmanned aerial systems (both quad copter and fixed wing models) in paleontological fieldwork.

Anthropology Evolutionary Studies Paleontology Spatial & Geographic Information Science

Past or current institution affiliations

University of North Carolina at Greensboro

Work details

Professor

University of North Carolina at Greensboro
August 2013
Anthropology

Identities

@paleobob

Websites

  • Anemone Lab

PeerJ Contributions

  • Articles 1
  • Reviewed 2
June 8, 2021
Unsupervised learning of satellite images enhances discovery of late Miocene fossil sites in the Urema Rift, Gorongosa, Mozambique
João d’Oliveira Coelho, Robert L. Anemone, Susana Carvalho
https://doi.org/10.7717/peerj.11573 PubMed 34164235

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

March 11, 2020
Application of artificially intelligent systems for the identification of discrete fossiliferous levels
David M. Martín-Perea, Lloyd A. Courtenay, M. Soledad Domingo, Jorge Morales
https://doi.org/10.7717/peerj.8767 PubMed 32201651
January 14, 2019
Combining legacy data with new drone and DGPS mapping to identify the provenance of Plio-Pleistocene fossils from Bolt’s Farm, Cradle of Humankind (South Africa)
Tara R. Edwards, Brian J. Armstrong, Jessie Birkett-Rees, Alexander F. Blackwood, Andy I.R. Herries, Paul Penzo-Kajewski, Robyn Pickering, Justin W. Adams
https://doi.org/10.7717/peerj.6202 PubMed 30656072