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. doi.org/10.1016/j.apgeog.2023.103167
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. doi.org/10.3390/ijerph192114328
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. doi.org/10.1037/rmh0000208
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. doi.org/10.1007/s10995-021-03330-0
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. doi.org/10.1016/j.jadohealth.2021.04.035
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. doi.org/10.1016/j.scitotenv.2020.142396
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. doi.org/10.1027/0227-5910/a000826
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. doi.org/10.1016/j.scitotenv.2020.141946
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.
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). doi.org/10.1186/s12942-020-00219-z
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. doi.org/10.1111/tgis.12606
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. doi.org/10.14288/acme.v17i4.1622
Swanlund, D., & Schuurman, N. (2018). Resisting geosurveillance: A survey of tactics and strategies for spatial privacy. Progress in Human Geography, 1–15. doi.org/10.1177/0309132518772661
Swanlund, D., & Schuurman, N. (2016). Mechanism Matters: Data Production for Geosurveillance. Annals of the American Association of Geographers, 1–16. doi.org/10.1080/24694452.2016.1188680
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.