Abstract/Details

Spatial analysis techniques for the comparison of spatial data sets from urban models


1997 1997

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Abstract (summary)

The conventional ways of examining spatial data sets are by using the traditional descriptive or inferential statistics for numerical comparison or by displaying the outputs with the spatial features associated with the spatial data sets. These analyses usually will not provide insight into the spatial attributes and lack the ability to interpret the spatial relationships among the spatial data sets. This dissertation research attempts to introduce and to identify feasible and suitable spatial analysis techniques as alternative methods for comparing and analyzing the spatial data sets.

The characteristics of spatial data are identified at the very beginning of this study, followed by the evaluations of feasibility and suitability of the spatial analysis techniques for analyzing the spatial data sets, particularly those sets utilized by urban models. To provide an example of the uses of the qualified spatial analysis technique, in this case the Gi* statistic, comparisons were made based on the data of five income household groups in the Portland, Oregon, region from the forecasting results of Putman's urban model DRAM. The results from this research proved that the procedures of the evaluations and the utilizations of the spatial analysis technique, the Gi* statistic, did provide a useful alternative method for examining the spatial data.

Indexing (details)


Subject
Urban planning;
Area planning & development;
Statistics
Classification
0999: Urban planning
0999: Area planning & development
0463: Statistics
Identifier / keyword
Social sciences, Pure sciences, city planning
Title
Spatial analysis techniques for the comparison of spatial data sets from urban models
Author
Lin, Wen-Yen
Number of pages
215
Publication year
1997
Degree date
1997
School code
0175
Source
DAI-A 58/11, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780591660135, 059166013X
Advisor
Putman, Stephen H.
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
9814878
ProQuest document ID
304394924
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304394924
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