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GIS‐based regionalization of soil profiles with Classification and Regression Trees (CART)
Author(s) -
Mertens Marion,
Nestler Inga,
Huwe Bernd
Publication year - 2002
Publication title -
journal of plant nutrition and soil science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.644
H-Index - 87
eISSN - 1522-2624
pISSN - 1436-8730
DOI - 10.1002/1522-2624(200202)165:1<39::aid-jpln39>3.0.co;2-x
Subject(s) - cart , regression analysis , hydraulic conductivity , soil texture , forestry , regression , environmental science , linear regression , soil science , statistics , mathematics , hydrology (agriculture) , geography , geology , soil water , geotechnical engineering , archaeology
A map of soil texture profiles was derived from readily available spatial data in combination with information from soil profiles using CART (classification and regression trees). The primary purpose was to provide a regionalized predictor for the vertical hydraulic conductivity profiles to be used as an input variable to an evapo‐transpiration model. In contrast to former studies, the texture of 110 soil profiles taken in the 10 km 2 area was not averaged vertically but the profiles were grouped according to their hydraulic properties. Therefore, it was possible to include site specific profiles, e.g. with histic or argillic horizons. Despite of small sampling quantities (110 soil profiles grouped into 8 classes) a prediction probability of 60 to 70 % was achieved in most classes. The resulting map provides valuable information for the granulometric and hydrologic characterization of the study area.