Urban Data Science V: Methods & Models for our Changing Cities

Type: Paper
Theme:
Sponsor Groups: Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/4/2019
Start / End Time: 8:00 AM / 9:40 AM (Eastern Standard Time)
Room: Congressional A, Omni, West
Organizers: Alex Singleton, Andrew Crooks, Levi Wolf
Chairs: Levi Wolf

Description

The city is the darling of geographical data science. Population density often begets data density, so urban data science provides fertile ground for the development of new methods and models across many problem domains that span sociology, economics, political science, epidemiology, and geography. Specifically, urban data science is experiencing a significant bout of high-profile attention as exciting new dynamics are captured with increasing detail. This moment provides an immense opportunity for cutting-edge quantitative geographical research, with recent books, high-profile papers, and new research institutes & environments springing up at multiple institutions around the emerging domain of geographic data science. Thus, we aim to help define this new research frontier by fostering a wide-ranging series of sessions showcasing novel geographic data science for dynamic urban processes. We are seeking all folks interested in many of the different core topics in urban geographic data science.


Agenda

Type Details Minutes Start Time
Presenter SU HAN*, Center for Geospatial Sciences, University of California at Riverside, Sergio Rey, Center for Geospatial Sciences, University of California at Riverside, Elijah Knaap, Center for Geospatial Sciences, University of California at Riverside, Wei Kang, Center for Geospatial Sciences, University of California at Riverside, Levi Wolf, Center for Geospatial Sciences, University of California at Riverside, Adaptive Choropleth Mapper: A Web-based Tool for Synchronous Exploration of Multiple Variables at Multiple Spatial Scales 20 8:00 AM
Presenter Ate Poorthuis*, Singapore University of Technology and Design, Luuc van der Zee, University of Amsterdam, Pieter Tordoir, University of Amsterdam, A platform-based approach to urban network analysis 20 8:20 AM
Presenter James Cheshire*, University College London, Visualizing Human Dynamics in the Context of Cities 20 8:40 AM
Presenter Jed Long*, University of Western Ontario, Understanding Dynamic Spatial Behaviour using an App-based Survey 20 9:00 AM
Presenter Daniel Fuller*, Memorial University of Newfoundland, Rui Zhang, University of Saskatchewan, Meghan Winters, Simon Fraser University, Yan Kestens, Universte de Montreal, Kevin G Stanley, University of Saskatchewan, Toward a Standard Feature Set for Spatial Behavior Characterization 20 9:20 AM

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