Abstract/Details

The visual analysis of spatial regression


2000 2000

Other formats: Order a copy

Abstract (summary)

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.

Indexing (details)


Subject
Urban planning;
Area planning & development
Classification
0999: Urban planning
0999: Area planning & development
Identifier / keyword
Social sciences, Geographic information systems, Graphical user interface, Spatial regression, Visual analysis
Title
The visual analysis of spatial regression
Author
Pederson, Thomas William
Number of pages
123
Publication year
2000
Degree date
2000
School code
0175
Source
DAI-A 61/03, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780599701557, 0599701552
Advisor
Tomlin, Charles Dana
University/institution
University of Pennsylvania
University location
United States -- Pennsylvania
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
9965540
ProQuest document ID
304637410
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304637410
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.