The visual analysis of spatial regression
Abstract
The primary objective of this research is to develop a set of digital visualization techniques with which to examine residual autocorrelation in spatial regression models using a spatial weight matrix. Its secondary objective is to explore and refine the process by which these techniques are developed as a prototype for the more general design of user-centered, task-driven components in a geographic information system. The research performed visual experiments on the results of spatial regression models that informed the design of an prototypical tool set developed for a specific category of spatial statistical analysis. The approach is presented as a paradigm for the design of other such tools. It includes user-centered, task-driven components that consists of a collection of spatial statistical and visualization techniques developed to facilitate the examination of residual autocorrelation using a spatial weight matrix. The research resulted in an interface design that combines ease of use, intuition, and the appeal of visualization with the relative certainty of statistics. ^
Subject Area
Urban and Regional Planning
Recommended Citation
Thomas William Pederson,
"The visual analysis of spatial regression"
(January 1, 2000).
Dissertations available from ProQuest.
Paper AAI9965540.
http://repository.upenn.edu/dissertations/AAI9965540