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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| Format: | Article |
| Language: | deu |
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Unité Mixte de Recherche 8504 Géographie-cités
1997-11-01
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| Series: | Cybergeo |
| Subjects: | |
| Online Access: | https://journals.openedition.org/cybergeo/361 |
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| _version_ | 1849236635033534464 |
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| author | Reiner Schwarz |
| author_facet | Reiner Schwarz |
| author_sort | Reiner Schwarz |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e401d4fd6e294332918c3aac0c93c2c1 |
| institution | Kabale University |
| issn | 1278-3366 |
| language | deu |
| publishDate | 1997-11-01 |
| publisher | Unité Mixte de Recherche 8504 Géographie-cités |
| record_format | Article |
| series | Cybergeo |
| spelling | doaj-art-e401d4fd6e294332918c3aac0c93c2c12025-08-20T04:02:12ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33661997-11-0110.4000/cybergeo.361Predicting wine quality from terrain characteristics with regression treesReiner SchwarzA 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.https://journals.openedition.org/cybergeo/361regression classificationagriculturewine qualityterrain characteristicstatisticsvineyard ecology |
| spellingShingle | Reiner Schwarz Predicting wine quality from terrain characteristics with regression trees Cybergeo regression classification agriculture wine quality terrain characteristic statistics vineyard ecology |
| title | Predicting wine quality from terrain characteristics with regression trees |
| title_full | Predicting wine quality from terrain characteristics with regression trees |
| title_fullStr | Predicting wine quality from terrain characteristics with regression trees |
| title_full_unstemmed | Predicting wine quality from terrain characteristics with regression trees |
| title_short | Predicting wine quality from terrain characteristics with regression trees |
| title_sort | predicting wine quality from terrain characteristics with regression trees |
| topic | regression classification agriculture wine quality terrain characteristic statistics vineyard ecology |
| url | https://journals.openedition.org/cybergeo/361 |
| work_keys_str_mv | AT reinerschwarz predictingwinequalityfromterraincharacteristicswithregressiontrees |