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||Tuuli Toivonen*, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Henrikki Tenkanen, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Vuokko Heikinheimo, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Olle Järv, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Tuomo Hiippala, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Social media content for understanding the spatial patterns of urban leisure time||20||1:20 PM|
|Presenter||Emmanouil Tranos*, University of Birmingham, Doing internet archaeology to reveal the evolution of the digital economy in the UK||20||1:40 PM|
|Presenter||Daniel Arribas-Bel*, , "Nowcasting" house prices at high spatiotemporal resolution||20||2:00 PM|
|Presenter||Nik Lomax*, University of Leeds, Andrew P Smith, University of Leeds, High resolution demographic projections for infrastructure planning||20||2:20 PM|
|Discussant||Alison Heppenstall||20||2:40 PM|
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