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Exploring Spatial Unit Effect on Spatial Optimization
Topics: Spatial Analysis & Modeling
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Keywords: spatial optimization, continuous space, heuristic Session Type: Virtual Paper Abstract Day: Saturday Session Start / End Time: 2/26/2022 08:00 AM (Eastern Time (US & Canada)) - 2/26/2022 09:20 AM (Eastern Time (US & Canada)) Room: Virtual 3
Authors:
Seonga Cho, Department of Geography, University of California Santa Barbara
Alan T. Murray, Department of Geography, University of California Santa Barbara
Somayeh Dodge, Department of Geography, University of California Santa Barbara
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Abstract
Spatial analysis is often dependent on spatial scale, with issues associated with MAUP encountered in practice. A prominent spatial analysis method is spatial optimization, used to address a range of descriptive, exploratory and predictive contexts. This presentation deals with scale issues encountered in spatial optimization focusing on an important multiple facility, multiple objective location planning model. The MAUP is particularly evident in the examination of non-dominated solutions characteristic of multiple objective problems that involve spatial decision making. This paper will explore the nature of spatial scale issues associated with continuous space multiple objective location problem. The relationship between spatial scale and the performance of spatial optimization will be explored during this presentation. Issues associated with continuous space modeling along with heuristic solution are detailed.
Exploring Spatial Unit Effect on Spatial Optimization
