Symposium on New Horizons in Human Dynamics Research: Innovations in Urban Analytics III - Data Synergies and Emerging Insights

Type: Paper
Theme:
Sponsor Groups: Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group, Urban Geography Specialty Group
Scheduler ID: THU-064-1:20 p.m.
Day: 4/12/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Bayside A, Sheraton, 4th Floor
Organizers: Nick Malleson, Tuuli Toivonen, Alex Singleton
Chairs: Alison Heppenstall

Call for Papers

Please e-mail the abstract and key words with your expression of intent to Nick Malleson (n.s.malleson@leeds.ac.uk) by November, 2017 (a few days before the extended AAG abstract deadline). Please make sure that your abstract conforms to the AAG guidelines in relation to title, word limit and key words and as specified at: http://annualmeeting.aag.org/submit_an_abstract. An abstract should be no more than 250 words that describe the presentation’s purpose, methods, and conclusions.


Description

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).


Agenda

Type Details Minutes Start Time
Presenter Tuuli Toivonen*, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Social media content for understanding the spatial patterns of urban leisure time Henrikki Tenkanen, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Social media content for understanding the spatial patterns of urban leisure time Vuokko Heikinheimo, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Social media content for understanding the spatial patterns of urban leisure time Olle Järv, Digital Geography Lab / Department of Geosciences and Geography / University of Helsinki, Social media content for understanding the spatial patterns of urban leisure time 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, High resolution demographic projections for infrastructure planning 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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