Resolving Challenges in Point Pattern Analysis Within Transportation Networks
Topics:
Keywords: GIS, Cyberinfrastructure, Spatial Analysis
Abstract Type: Paper Abstract
Authors:
Zachery Slocum, University of North Carolina at Charlotte
Wenwu Tang, University of North Carolina at Charlotte
Eric Delmelle, University of North Carolina at Charlotte
Shen-En Chen, University of North Carolina at Charlotte
Dana Magliola, North Carolina Department of Transportation
Tianyang Chen, University of North Carolina at Charlotte
Sophia Lin, University of North Carolina at Charlotte
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Abstract
Point pattern analysis of network-bound phenomena has been solved within the GIScience domain. However, there exists a gap between theory and application of this analysis. Applying point pattern analysis to modern transportation networks is hindered by the size of datasets describing them. For example, there may be millions of line segments to represent only the roadways in a given US state.
This paper presents a workflow for study of point-based phenomena which occur within transportation networks. The workflow presented includes modern cyberinfrastructure and high performance computing techniques, a generalized data model, and a focus on rapid deployment.
Resolving Challenges in Point Pattern Analysis Within Transportation Networks
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Paper Abstract
