A climatic classification of the world’s wine regions

A climatic classification of the world’s wine regions

Using a dataset with 16 climate variables for locations representing 813 wine regions that cover 99 % of the world’s winegrape area, we employ principal component analysis (PCA) for data reduction and cluster analysis for grouping similar regions. The PCA resulted in three components explaining 89 ...

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Bibliographic Details
Main Authors: German Puga, Kym Anderson, Gregory Jones, Firmin Doko Tchatoka, Wendy Umberger
Format: Article
Language:English
Published: International Viticulture and Enology Society 2022-06-01
Series:OENO One
Subjects:
Viticultural zoning
winegrape varieties
adaption to climate change
cluster analysis
principal component analysis
Online Access:https://oeno-one.eu/article/view/4627

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