ASCE will be sunsetting the Civil Engineering Database (CEDB) in the coming months. We encourage you to start using the ASCE Library to perform content searches. In the ASCE Library, you can save your search results as well as receive email content alerts when new content relevant to your area of interest is published. Try it out today at https://ascelibrary.org.

 

Statistical Modeling of Space-Time Data

by Charles T. Kufs, Roy F. Weston Inc, United States,



Document Type: Proceeding Paper

Part of: Critical Water Issues and Computer Applications

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: Statistics | Optimization models | Mathematical models | Water resources | Water pollution | Spatial distribution | Regression analysis

Services: Buy this book/Buy this article

 

Return to search