Spatial Optimization and Analysis III

Type: Paper
Sponsor Groups: Spatial Analysis and Modeling Specialty Group, Geographic Information Science and Systems Specialty Group
Poster #:
Day: 4/6/2019
Start / End Time: 1:10 PM / 2:50 PM (Eastern Standard Time)
Room: Roosevelt 4, Marriott, Exhibition Level
Organizers: Daoqin Tong
Chairs: Wangshu Mu


Spatial optimization and analysis has been applied to solve a range of problems concerning placement of entities, resources, goods and services in space. In these sessions, we welcome studies addressing any relevant issues related to spatial optimization and analysis. These studies include but not limited to:
• Location analysis and modeling
• GIS and suitability analysis
• Network design and analysis
• Transportation modeling and planning
• Land use planning and resource management
• Districting/regionalization
• Big data applications
• Problem solution techniques


Type Details Minutes Start Time
Presenter Minrui Zheng*, University of North Carolina - Charlotte, Wenwu Tang, University of North Carolina at Charlotte, Xiang Zhao, Wuhan University, Spatially explicit hyperparameter optimization 20 1:10 PM
Presenter Dianfeng Liu*, Wuhan University, Xuesong Kong, Wuhan University, Yaolin Liu, Wuhan University, Spatial optimization of rural settlement relocation incorporating inter-village social connections under future policy scenarios 20 1:30 PM
Presenter Xueting Jin*, Arizona State University, Daoqin Tong, Arizona State University, Zhongju Zhang, Arizona State University, Dockless bike sharing demand modeling: A case study in Beijing 20 1:50 PM
Presenter Christopher Scarpone*, Ryerson University, Andrew A Millward, Ryerson University, Stephanie Melles, Ryerson University, Scale Optimization for Ecological Systems: Management Implications for “The Right Pixel” in Model Predictions 20 2:10 PM
Presenter Wangshu Mu*, Arizona State University School of Geographical Sciences and Urban Planning, Daoqin Tong, Arizona State University School of Geographical Sciences and Urban Planning, A new study for understanding the scale effect in the regression analysis of spatial data 20 2:30 PM

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