Statistical Modeling of Space-Time Databy Charles T. Kufs, Roy F. Weston Inc, United States,
Abstract: A common practice in hydrogeology is to draw contour lines to depict the occurrence of spatially distributed (i.e., regionalized) variables such as groundwater elevations, aquifer properties (e.g., transmissivity) or contaminant concentrations. Where the occurrence of such variables must be evaluated quantitatively, the statistical method known as trend-surface modeling can be used. Trend-surface modeling is a simple extension of multiple regression in which a spatially distributed variable is represented by an equation consisting of a constant, or error term, and algebraic functions of sample location coordinates. Optimized and innovative trend-surface modeling, as well as statistical dimension modeling is discussed.
Subject Headings: Data processing | Water pollution | Water resources | Optimization models | Hydrologic models | Spatial distribution | Errors (statistics)
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