New forms of data about people and cities, often termed ‘Big’, are fostering research that is disrupting many traditional fields. This is true in geography, and especially in those more technical branches of the discipline such as computational geography / geocomputation, spatial analytics and statistics, geographical data science, etc. These new forms of micro-level data have lead to new methodological approaches in order to better understand how urban systems behave. Increasingly, these approaches and data are being used to ask questions about how cities can be made more sustainable and efficient in the future.
This session will bring together the latest research in urban analytics. We are particularly interested in papers that engage with the following domains:
- Agent-based modelling (ABM) and individual-based modelling;
- Machine learning for urban analytics;
- Innovations in consumer data analytics for understanding urban systems;
- Real-time model calibration and data assimilation;
- Spatio-temporal data analysis;
- New data, case studies, demonstrators, and tools for the study of urban systems;
- Complex systems analysis;
- Geographic data mining and visualisation;
- Frequentist and Bayesian approaches to modelling cities.
For those interested specifically in the interface between research and policy, they might consider submitting their paper to the session “Computation for Public Engagement in Complex Problems” (http://www.gisagents.org/2017/10/call-for-papers-computation-for-public.html).
|Presenter||Boyana Buyuklieva*, Centre for Advanced Spatial Analysis, University College London, Making Metrics Meaningful: A Discussion of Implementation and Reproducibility Using Measures of Migration Adam Dennett, Centre for Advanced Spatial Analysis, University College London, Making Metrics Meaningful: A Discussion of Implementation and Reproducibility Using Measures of Migration||20||3:20 PM|
|Presenter||Marina Toger*, Uppsala University, How average is average? Temporal patterns and variability in mobile phone data Ian Shuttleworth, Queen's University Belfast, How average is average? Temporal patterns and variability in mobile phone data John Östh, Uppsala University, How average is average? Temporal patterns and variability in mobile phone data||20||3:40 PM|
|Presenter||Alec Davies*, , Using new forms of data to investigate self-medication Mark Green, University of Liverpool , Using new forms of data to investigate self-medication Alex Singleton, University of Liverpool, Using new forms of data to investigate self-medication||20||4:00 PM|
|Presenter||Ellen Talbot*, University of Liverpool, Estimating Energy Consumption Through Smart Meter and Socio-demographic Datasets||20||4:20 PM|
|Discussant||Ed Manley University College London||20||4:40 PM|
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