Graduate Students
Stella Harden
stella_harden@sfu.ca
Program: PhD Candidate
I seek to identify factors mediating runner experience and access to restorative outdoor spaces. This work assesses environmental features conducive to running for different populations, then aims to develop novel methods for visualizing spatiotemporal runner patterns. Further, this research analyzes potential harms of using big social media data in geographic research and simultaneously proposes ways big social media data can be used to expose societal inequities.
My publications:
Peer-Reviewed Journal Articles
Harden, S.R., Schuurman, N., Larson, H., and Walker B.B. (2023). The Utility of Street View Imagery in Environmental Audits for Runnability. Applied Geography.
Harden, S.R., Schuurman, N., Keller, P., and Lear, S.A. (2022). Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis. Int. J. Environ. Res. Public Health.
Runkle, J.D., Harden, S.R., Hart, L., Moreno, C., Michael, K., and Sugg, M.M. (2022). Socio-environmental Drivers of Adolescent Suicide in the United States: A Scoping Review. Journal of Rural Mental Health.
Harden, S.R., Runkle, J.D., and Sugg, M.M. (2022). An Exploratory Spatiotemporal Analysis of Socio‑Environmental Patterns in Severe Maternal Morbidity. Maternal & Child Health Journal.
Harden, S.R., Sugg, M.M., Runkle, J.D. (2021). Spatial Clustering of Adolescent Bereavement in the U.S. During the COVID-19 Pandemic. Journal of Adolescent Health.
Andersen, L.M., Harden, S.R., Sugg, M.M., Runkle, J.D., and Lundquist, T. (2021). Analyzing the Spatial Determinants of Local Covid-19 Transmission In The United States. Science of the Total Environment.
Runkle, J.D., Sugg, M.M., Yadav, S., Harden, S.R., Weiser, J., and Michael, K. (2021). Real-time Mental Health Crisis Response in U.S. to COVID-19: Insights from a National Text-based Platform. Crisis: The Journal of Crisis Intervention and Suicide Prevention.
Sugg, M.M., Spaulding, T., Lane, S., Runkle, J.D., Harden, S.R., Hege, A., and Iyer, L. (2021). Mapping Community-Level Determinants of COVID-19 Transmission in Nursing Homes: A multi-scale approach. Science of the Total Environment.
Book Chapters
Harden, S.R. and Schuurman, N. (2024). Geospatial science and health: Overview of data and methods. In T. Dummer (Ed.), Understanding Cancer Prevention through Geospatial Science: Putting Cancer in its Place. Springer.
Ashley Tegart
ashley_tegart@sfu.ca
Program: MSc Candidate
My research focuses on identifying environmental correlates with runnability. Environmental correlates are features of the built and natural environment which encourage people to run in those spaces. Furthermore, through GIScience methods and the development of environmental scan instruments, I examine the applicability of in-lab research to the real world and identify additional features.
My publications:
Peer-Reviewed Journal Articles
Tegart, A.D., Schuurman, N., Harden, S.R. (2025). Runnability: A Scoping Review. Int. J. Environ. Res. Public Health, 22(71).
Irina Lipnitskaya
ila23@sfu.ca
Program: MSc Candidate
My research interests include Geography, G.I.S., E.D.I. & Local projects driven by Indigenous Epistemologies and Pedagogies. In my free time, I volunteer for the Burnaby Lake Park Assciation, to plant endemic species as well as remove invase plants, in order to help the restoration of our natural environemnts, critical places to promote physical activity such as running and cycling.
David Swanlund
dswanlun@sfu.ca
Program: PhD Candidate
My research explores how we can better protect individuals' location privacy, particularly within the context of academic research. This includes developing methods and software tools that allow GIS users to easily and quickly anonymize their sensitive spatial data prior to publishing it, whether in the form of maps or open datasets, while still retaining its analytical utility. By facilitating the adoption of these methods, I hope to reduce the risk of privacy violations while also allowing important geographic research into otherwise protected datasets.
Select Publications:
Swanlund, D., Schuurman, N., Zandbergen, P., & Brussoni, M. (2020). Street masking: A network-based geographic mask for easily protecting geoprivacy. International Journal of Health Geographics, 19(1).
Swanlund, D., Schuurman, N., & Brussoni, M. (2020). MaskMy.XYZ: An easy-to-use tool for protecting geoprivacy using geographic masks. Transactions in GIS, 24(2), 390–401.
Swanlund, D., & Schuurman, N. (2018). Second Generation Biometrics and the Future of Geosurveillance: A Minority Report on FAST | ACME: An International Journal for Critical Geographies.
Swanlund, D., & Schuurman, N. (2018). Resisting geosurveillance: A survey of tactics and strategies for spatial privacy. Progress in Human Geography, 1–15.
Swanlund, D., & Schuurman, N. (2016). Mechanism Matters: Data Production for Geosurveillance. Annals of the American Association of Geographers, 1–16.