A Polygon-Based Approach to Spatial Network Allocation: Optimal Facility Location Modeling and Network Analysis

Authors: James D. Gaboardi*, Florida State University, David C. Folch, Florida State University
Topics: Spatial Analysis & Modeling, Geographic Information Science and Systems, Quantitative Methods
Keywords: Network Allocation, Python, GISci
Session Type: Paper
Day: 4/4/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Roosevelt 2, Marriott, Exhibition Level
Presentation File: No File Uploaded


Frequently in network-centric research, population is represented by large, aggregated census geographies to reduce computational complexity and accommodate data availability. However, it is well known in the literature that as spatial data are aggregated and precise locational information is lost, error may be assumed. Therefore, a novel method, PolyPop2Net or PP2N (Population Polygons to Networks), is proposed for allocating populations to networks utilizing a process that more accurately considers population. In defining the PP2N method, population distributions will be simulated before network allocation can occur. The development of the PP2N method is performed utilizing simulated network and population data before being tested using nested US Census Bureau geographies from the publicly available 2010 Decennial Census for Leon County, Florida.

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