A survey of computational methods for fossil data analysis

Indre Zliobaite; Kai Puolamäki; Jussi T. Eronen; Mikael Fortelius

A survey of computational methods for fossil data analysis

Indre Zliobaite, Kai Puolamäki, Jussi T. Eronen, Mikael Fortelius

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Evolutionary Ecology Research
Volume	18
Issue number	5
Pages (from-to)	477-502
Number of pages	26
ISSN	1522-0613
Publication status	Published - Sep 2017
MoE publication type	A1 Journal article-refereed

Fields of Science

big data
computational fossil data analysis
data mining
ecometrics
evolutionary palaeontology
machine learning
mammals
COEXISTENCE APPROACH
MAMMAL COMMUNITIES
SPECIES RICHNESS
PLANT FOSSILS
MISSING DATA
NEOGENE
CLIMATE
PRODUCTIVITY
OCCUPANCY
ABUNDANCE
1171 Geosciences
113 Computer and information sciences
1181 Ecology, evolutionary biology

Access to Document

http://www.evolutionary-ecology.com/issues/v18/n05/ccar3066.pdf

Equipment

NOW (New and Old Worlds) fossil mammal database

Mikael Fortelius (Manager) & Kari Lintulaakso (Operator)

Department of Geosciences and Geography

Facility/equipment: Equipment

Cite this

Zliobaite, I., Puolamäki, K., Eronen, J. T., & Fortelius, M. (2017). A survey of computational methods for fossil data analysis. Evolutionary Ecology Research, 18(5), 477-502.

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KW - SPECIES RICHNESS

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KW - MISSING DATA

KW - NEOGENE

KW - CLIMATE

KW - PRODUCTIVITY

KW - OCCUPANCY

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KW - 113 Computer and information sciences

KW - 1181 Ecology, evolutionary biology

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