Noi, E., Rudolph, A., & Dodge, S. (2021). A novel method for mapping spatiotemporal structure of mobility patterns during the COVID-19 pandemic. GIScience 2021 Short Paper Proceedings, UC Santa Barbara: Center for Spatial Studies. [download link]

Dodge S., Noi, E. (2021) Mapping trajectories and flows: Facilitating a human-centered approach to data-driven movement analytics. Cartography and Geographic Information Science. 48:4, 353-375, DOI: 10.1080/15230406.2021.1913763

Dodge, S., Su, R., Johnson, J., Simcharoen, A., Goulias, K., Smith J.L.D., Ahearn, S.C. (2021) ORTEGA: an object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data, Computers, Environment and Urban Systems, 88 (July 2021), 101630, pp. 1–14. doi:10.1016/j.compenvurbsys.2021.101630

Dodge, S., (2021) A Data Science Framework for Movement. Geographical Analysis, the GA 50th Anniversary Special Issue, 53:1, pp. 92–112. doi:10.1111/gean.12212

Dodge, S., (2020) WhereNext: Towards a Cartographic Framework for Movement, in AutoCarto 2020. [pdf]

Dodge, S., Gao, S., Tomko, M., & Weibel, R., (2020) Progress in computational movement analysis – towards movement data science, International Journal of Geographical Information Science. doi:10.1080/13658816.2020.1784425 34(12), pp. 2395-2400.

Dodge, S., Ahearn, SC. (2020) Multi-scale Modeling of Movement. Scale and Spatial Analytics: A SPARC Workshop. February 10 – 11, 2020, Arizona State University, Tempe, AZ. Position paper.

Adams, B., Dodge, S., Purves, R., (2020) JOSIS’s 10th anniversary special feature, Journal of Spatial Information Science (JOSIS). No. 20, pp. 1–4. Editorial. doi:10.5311/JOSIS.2019.19.670 [pdf]

Dodge, S., (2019) Towards Movement Data Science, Spatial Data Science Symposium: Setting the Spatial Data Science Agenda. December 9-11, 2019 – Santa Barbara, California. [pdf]

Miller, H., Dodge, S., Miller, J., and Bohrer, G., (2019) Towards an integrated science of movement: converging research on animal movement ecology and human mobility, International Journal of Geographic Information Science, 33(5), pp. 855 — 876. doi:10.1080/13658816.2018.1564317