Predictive soil mapping: a review

Progress in Physical Geography - Tập 27 Số 2 - Trang 171-197 - 2003
Peter Scull1, Janet Franklin1, Oliver A. Chadwick2, David S. McArthur1
1Department of Geography, San Diego State University, San Diego, CA 92182-4493, USA
2Department of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USA

Tóm tắt

Predictive soil mapping (PSM) can be defined as the development of a numerical or statistical model of the relationship among environmental variables and soil properties, which is then applied to a geographic data base to create a predictive map. PSM is made possible by geocomputational technologies developed over the past few decades. For example, advances in geographic information science, digital terrain modeling, remote sensing, fuzzy logic has created a tremendous potential for improvement in the way that soil maps are produced. The State Factor soil-forming model, which was introduced to the western world by one of the early Presidents of the American Association of Geographers (C.F. Marbut), forms the theoretical basis of PSM. PSM research is being driven by a need to understand the role soil plays in the biophysical and biogeochemical functioning of the planet. Much research has been published on the subject in the last 20 years (mostly outside of geographic journals) and methods have varied widely from statistical approaches (including geostatistics) to more complex methods, such as decision tree analysis, and expert systems. A geographic perspective is needed because of the inherently geographic nature of PSM.

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Progress in Physical Geography

Tập 27 Số 2

171-197

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