An object oriented approach towards spatial aggregation: The design, utilization, and evaluation of the Spatial Aggregation Modeling Engine (S.A.M.E.)

Paul Edward Patterson, University of Pennsylvania

Abstract

This dissertation evaluates whether aggregation methodologies and systems benefit from utilizing an object oriented approach, either in terms of improved modeling flexibility or in terms of unique aggregation strategies developed at the object level. This research question is operationalized through three phases of the dissertation. The first phase is the design of an object oriented system, the Spatial Analysis Modeling Engine (SAME), for aggregating various types of spatial data into groups. The second phase is the extension of SAME to improve on modeling and decision making limitations inherent in one type of aggregation application, residential vehicle routing. Again using SAME as the base, the third phase is the development of behaviors at the object level to provide new ways of performing aggregation, in this case for a political redistricting application using the hypothetical example of the state of Florida. The first phase was successful since the design of SAME enabled phases two and three to be accomplished. The second phase was successful at overcoming six identified limitations of current routing software. And finally the third phase was also successful in creating good, feasible solutions while modeling the real-world processes of such a redistricting problem utilizing new behaviors and modeling constructs at the object level. It is suggested that the ideas developed in this dissertation could be applied to other types of aggregation problems as well. ^

Subject Area

Geography|Urban and Regional Planning

Recommended Citation

Patterson, Paul Edward, "An object oriented approach towards spatial aggregation: The design, utilization, and evaluation of the Spatial Aggregation Modeling Engine (S.A.M.E.)" (2001). Dissertations available from ProQuest. AAI3003677.
https://repository.upenn.edu/dissertations/AAI3003677

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