Symposium on CyberGIS and Spatial Data Science: Data-Driven Geography

Type: Paper
Sponsor Groups: Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group, Cyberinfrastructure Specialty Group
Poster #:
Day: 4/10/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Grand Ballroom A, Astor, 2nd Floor
Organizers: Hao Hu, Shaowen Wang
Chairs: Harvey Miller


The context for geographic research has shifted from a data-scarce to a data-rich environment, in which the most fundamental changes are not the volume of data, but the variety and the velocity at which we can capture georeferenced data. A data-driven geography may be emerging in response to the wealth of georeferenced data flowing from sensors and people in the environment. Some of the issues raised by data-driven geography have in fact been longstanding issues in geographic research, namely, large data volumes, dealing with populations and messy data, and tensions between idiographic versus nomothetic knowledge. There is potential to use Big Data methods (i.e. geocomputation, visual analytics) to inform both geographic knowledge-discovery and spatial modeling.

As part of the AAG 2018 Symposium on CyberGIS and Spatial Data Science, this session aims to capture the latest efforts on the development in data-driven geography including but not limited to theories and approaches in data-driven geography, novel applications in various domains such as precision agriculture, human dynamics, and public health, and current challenges and future opportunities in data-driven geography.


Type Details Minutes Start Time
Presenter Pei Lun Chien*, National Taiwan University, Analyzing Driving Behavior on Freeway by Using Electronic Toll Collection Data. 20 10:00 AM
Presenter Owen Mundy*, Davidson College, Seth E Spielman, University of Colorado, David Folch, Florida State University, Multivariate Interactive Web Map Design: Representing American Community Survey Uncertainty Data 20 10:20 AM
Presenter Ting Li*, University of Illinois, Yizhao Gao, University of Illinois, Shaowen Wang, University of Illinois, Data-intensive spatial point clustering with inhomogeneous background 20 10:40 AM
Presenter Zihan Kan*, , Luliang Tang, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China, Estimating and visualizing vehicles’ fuel consumption/emissions from GPS trace big data based on activity analysis 20 11:00 AM
Presenter Yihong Yuan*, Texas State University, Maël Le Noc, Texas State University, Exploring urban dynamics from Taxi Trajectories: a case study of Nanjing, China 20 11:20 AM

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