Urban Data Science VI: 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: 9:55 AM / 11:35 AM (Eastern Standard Time)
Room: Congressional A, Omni, West
Organizers: Alex Singleton, 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 Konstantinos Daras*, University of Liverpool, Mark A Green, University of Liverpool, Alec Davies, University of Liverpool, Alexander Singleton, University of Liverpool, Benjamin Barr, University of Liverpool, Mapping accessibility to health-related neighbourhood features in Great Britain 20 9:55 AM
Presenter Alec Davies*, Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool , Mark A Green, Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool, Alex D Singleton, Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool, Using loyalty card records and machine learning to understand how self-medication behaviours vary seasonally in England, 2012-2014 20 10:15 AM
Presenter Elijah Knaap*, University of California Riverside, Gerrit Knaap, University of Maryland, Nicholas Finio, University of Maryland, Sergio Rey, University of California Riverside, Spatial Informatics for Measuring Urban Inequality in International Contexts 20 10:35 AM
Presenter Damilola Eyelade*, University of California, Ighodalo Ijagbone, University of Ibadan, Sensitivity of the SLEUTH cellular automata model to time intervals between land use inputs 20 10:55 AM
Presenter Emma Tome*, National Renewable Energy Laboratory, Benjamin Sigrin, National Renewable Energy Laboratory, Low-income solar adoption in California 20 11:15 AM

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