Using machine learning on tree-ring data to determine the geographical provenance of historical construction timbers

6533b7cefe1ef96bd1257a4b

RESEARCH PRODUCT

Using machine learning on tree-ring data to determine the geographical provenance of historical construction timbers

Eileen Kuhl Christian Zang Jan Esper Dana F. C. Riechelmann Ulf Büntgen Martin Briesch Frederick Reinig Philipp Römer Oliver Konter Martin Schmidhalter Claudia Hartl

subject

tree-ring width Ecology dendrochronology Extreme Gradient Boosting artificial intelligence 550 Geowissenschaften 910 Geography and travel 550 Earth sciences tree-ring density dendroprovenancing 910 Geografie European Alps Larix decidua Ecology Evolution Behavior and Systematics

description

Funder: Bavarian Climate Research Network (BayKliF)

year	journal	country	edition	language
2023-01-01

https://dx.doi.org/10.17863/cam.94680

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