Dr Glenna Nightingale
Glenna Nightingale née Evans
I graduated from St Andrews University in 2013 with a PhD in Statistics. My research focus was on spatial point process models in a Bayesian context. Since then, I have gained experience in modelling time to event data (in a Bayesian context), constructing R packages, analysing longitudinal data and spatiotemporal data, construction of complex survey weights, factor analysis and machine learning. I possess broad skills covering both Bayesian and Frequentist statistical modelling, and have developed custom models that are perfectly suited to the task at hand rather than using off-the-shelf models.
I also collaborate with other Statisticians and Epidemiologists– for example on projects that involve Area Interaction Point Process Models, Log Gaussian Cox Processes, time series modelling using ARIMA, HMM, and GLMs and COVID-19 surveillance.
My hobbies include playing piano and building R Shiny apps for data visualization
RSS Fellow in April 2018
Popov V.M, Nightingale G., Williams A.J., Kelly P., Jepson R., Milton K., and Kelly M. Trend shifts in road traffic collisions An application of Hidden Markov Models and Generalised Additive Models to assess the impact of the 20mph speed limit policy in Edinburgh January 2021 Environment and Planning B: Urban Analytics and City Science)
GF Nightingale, AJ Williams, J Woodcock, P Kelly, K Kokka, A Abbas, R Jepson,2020, OP90 An evaluation of the impact of the 20mph speed limits in the City of Edinburgh on road traffic casualty and collision rates, J Epidemiol Community Health, Vol 74, Issue Suppl 1, BMJ Publishing Group Ltd
Glenna F. Nightingale, Paul Kelly, Andrew James Williams, Ruth F Hunter, James Woodcock, Kieran Turner, Claire L Cleland, Graham Baker, Mike Kelly, Andy Cope, Frank Kee ,Karen Milton, Charlie Foster, Ruth Jepson An evaluation of changes in traffic speed and volume following 20mph (30kmph) speed limits intervention, Journal of Transportation, submitted under review (November 2020)
Nightingale G.F.,2020, Applying "zones of influence" to social distancing in schools, Royal Statistical Society Significance, https://www.significancemagazine.com/science/677-applying-zones-of-influence-to-social-distancing-in-schools
Nightingale G. F., Illian J. B., King R., and Nightingale P., September 2019. Area Interaction Point Processes for Bivariate Point Patterns in a Bayesian Context, Journal of Environmental Statistics, vol 9, no 2
Cleland, C. L., McComb, K., Kee, F., Jepson, R., Kelly, M., Milton, K., Nightingale, G., Kelly, P., Baker, G., Craig, N., Williams, A. & Hunter, R. F. October 2019. Effects of 20mph interventions on a range of public health outcomes: A meta-narrative evidence synthesis , Journal of Transport & Health
McCollum, D., Liu, Y., Findlay, A. M., Feng, Z. & Nightingale, G. 30 Jan 2018, Determinants of occupational mobility: the importance of place of work, Regional Studies.
Findlay, A. M., Packwood, H., McCollum, D., Nightingale, G. & Tindal, S. 11 Dec 2017 , Fees, flows and imaginaries: exploring destination choices arising from intra-national student mobility, Globalisation, Societies and Education.
Nightingale G. F, McCollum D., Finney N., Ernsten, A. 2017. Ethnic variations in internal migration in the UK, 2009-2015. CPC Briefing Paper 38. ESRC Center for Population Change, UK.
Nightingale G. F. 2016. R package edgeCorr.
Nightingale G. F., Illian J. B. and King R. 2015. Pairwise Interaction Point Processes for Modelling Bivariate Spatial Point Patterns in the Presence of Interaction Uncertainty. Journal of Environmental Statistics
Nightingale GF, Laland KN, Hoppitt W, Nightingale P.2015. Bayesian Spatial NBDA for Diffusion Data with Home-Base Coordinates. PLoS ONE 10(7): e0130326. doi:10.1371/journal.pone.0130326
Nightingale GF., Nightingale P. 2015 SocialNetworks R Package.
Nightingale G, Boogert N, Hoppitt W and Laland KN. 2014. Quantifying diffusion in social networks: a Bayesian approach In book: Animal Social Networks, Chapter: 5, Publisher: Oxford University Press
Boogert N, Nightingale G.F., Hoppitt W and Laland KN. 2014. Perching but not foraging networks predict the spread of novel foraging skills in starlings. Behavioural Processes, Vol 109, pp 135-144
Nightingale G.F. 2014. R package spatialnbda.
Gent I. P, Hussain B. S, Jefferson C., Kotthoff L., Miguel I., Nightingale G.F., and Nightingale P. 2014. Discriminating Instance Generation for Automated Constraint Model Selection. Conference paper in Conference on Principles and Practice of Constraint Programming (CP)
King R ., Illian J. B. , King S .E. , Nightingale G. F. & Hendrichsen D. 2012 , ' A Bayesian approach to fitting Gibbs processes with temporal random effects ' Journal of Agricultural, Biological and Environmental Statistics , vol 17 , no. 4 , pp. 601-622
PhD thesis: Bayesian point process modelling of ecological communities
Upcoming poster presentations and talks:
Blog posts: https://www.sustrans.org.uk/blog/do-20mph-speed-limits-affect-levels-physical-activity
I have experience in using point pattern data and longitudinal datasets such as the British Household Panel Survey (BHPS) data, the UK Household Panel Survey the British Cohort Study (BCS), and the Scottish Longitudinal Study (SLS) data. I also have experience in analysing time to event, spatiotemporal, and survey data.