Australia-wide predictions of soil properties using decision trees

Henderson, B. L., Bui, E. N., Moran, C. J. and Simon, D. A. P. (2005) Australia-wide predictions of soil properties using decision trees. Geoderma, 124 3-4: 383-398. doi:10.1016/j.geoderma.2004.06.007

Author Henderson, B. L.
Bui, E. N.
Moran, C. J.
Simon, D. A. P.
Title Australia-wide predictions of soil properties using decision trees
Journal name Geoderma   Check publisher's open access policy
ISSN 0016-7061
Publication date 2005-02
Year available 2004
Sub-type Article (original research)
DOI 10.1016/j.geoderma.2004.06.007
Volume 124
Issue 3-4
Start page 383
End page 398
Total pages 16
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject C1
Abstract This paper describes the construction of Australia-wide soil property predictions from a compiled national soils point database. Those properties considered include pH, organic carbon, total phosphorus, total nitrogen, thickness. texture, and clay content. Many of these soil properties are used directly in environmental process modelling including global climate change models. Models are constructed at the 250-m resolution using decision trees. These relate the soil property to the environment through a suite of environmental predictors at the locations where measurements are observed. These models are then used to extend predictions to the continental extent by applying the rules derived to the exhaustively available environmental predictors. The methodology and performance is described in detail for pH and summarized for other properties. Environmental variables are found to be important predictors, even at the 250-m resolution at which they are available here as they can describe the broad changes in soil property.
Keyword Digital soil mapping
Soil pH
Spatial data mining
Spatial modelling
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
Sustainable Minerals Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 108 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 124 times in Scopus Article | Citations
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Created: Mon, 13 Aug 2007, 14:53:47 EST