Predicting wine quality from terrain characteristics with regression trees

Predicting wine quality from terrain characteristics with regression trees

A former cartographic study on terrain characteristics of the German Rhinegau is reviewed. An attempt is made to predict relative quality of the Riesling from local site factors usings Classifcation And Regression Trees (= CART). Valid results suppose quantity to be ruled out by quality, ignoring an...

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Bibliographic Details
Main Author: Reiner Schwarz
Format: Article
Language:deu
Published: Unité Mixte de Recherche 8504 Géographie-cités 1997-11-01
Series:Cybergeo
Subjects:
wine quality
terrain characteristic
regression classification
statistics
agriculture
vineyard ecology
Online Access:http://journals.openedition.org/cybergeo/361
Description
Summary:A former cartographic study on terrain characteristics of the German Rhinegau is reviewed. An attempt is made to predict relative quality of the Riesling from local site factors usings Classifcation And Regression Trees (= CART). Valid results suppose quantity to be ruled out by quality, ignoring any price ratio of vine cultivation. The study demonstrates that CART is a valuable statistical tool without restrictions by data types.
ISSN:1278-3366

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