CSAP Blog

By Roger Beecham, 29.04.2020. We are constantly told, and those of us in data-driven domains may earnestly tell ourselves, that new data, new technology and new ways of doing science are transforming how we approach the world’s problems. I generally cringe at this sort of guff. The whole "data is...

On 25th April 2018 we had the pleasure of welcomming Yoo Min Park from Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign. Yoo Min presented her latest work entitled Moving Beyond Residential Neighborhoods: A Fine-Scale Spatiotemporal Approach to Examining Environmental Inequalities. Abstract This study examines the...

Malleson, N., Vanky, A., Hashemian, B., Santi, P., Verma, S.K., Courtney, T.K., Ratti, C.. (2018). The characteristics of asymmetric pedestrian behavior: A preliminary study using passive smartphone location data. Transactions in GIS. DOI: 10.1111/tgis.12336 Understanding the movements of people is essential for the design and management of urban areas. This...

New paper: Xiang, Lili, John Stillwell, Luke Burns, Alison Heppenstall, and Paul Norman. (2018) A Geodemographic Classification of Sub-Districts to Identify Education Inequality in Central Beijing. Computers, Environment and Urban Systems, February. https://doi.org/10.1016/j.compenvurbsys.2018.02.002. Abstract The paper explores the use of geodemographics as a means of assessing potential inequality in access...

Arnold KF; Ellison GTH; Gadd SC; Textor J; Tennant PWG; Heppenstall A; Gilthorpe MS (2018) Adjustment for time-invariant and time-varying confounders in ‘unexplained residuals’ (UR) models for longitudinal data within a causal framework, and associated challenges http://eprints.whiterose.ac.uk/126041/, Statistical Methods in Medical Research Abstract: ‘Unexplained residuals’ (UR) models have been used...