Publications

Journal Papers and Book Chapters

Noi, E., Rudolph, A. & Dodge, S. (forthcoming), VASA: An Exploratory Visualization Tool for Mapping Spatio-temporal Structure of Mobility – A COVID-19 Case Study. Cartography and Geographic Information Science (CaGIS)

Su, R., Dodge, S., Goulias, K., (2022) A classification framework and computational methods for human interaction analysis using movement data, Transactions in GIS, 26(4), Pages 1665-1682, https://doi.org/10.1111/tgis.12960

Su, R., Dodge, S., Goulias, K., (2022) Understanding the impact of temporal scale on human movement analytics, Journal of Geographical Systems, 24, pages 353–388, DOI: 10.1007/s10109-021-00370-6. (Selected as the JGS Editor’s Choice Article).

Noi, E., Rudolph, A. & Dodge, S. (2022) Assessing COVID- induced changes in spatiotemporal structure of mobility in the United States in 2020: a multi- source analytical framework, International Journal of Geographical Information Science, 36(3), Pages 585-616. DOI: 10.1080/13658816.2021.2005796

Dodge, S., Toka, M. & Bae, C.J. (2021) DynamoVis 1.0: an exploratory data visualization software for mapping movement in relation to internal and external factors. Movement Ecology 9, 55 (2021). https://doi.org/10.1186/s40462-021-00291-5

Dodge, S., Noi, E. (2021) Mapping trajectories and flows: Facilitating a human-centered approach to data-driven movement analytics. Cartography and Geographic Information Science (CaGIS). 48 (4), pp. 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, Computer Environment and Urban Systems. Vol 88, 101630. https://doi.org/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. https://doi.org/10.1111/gean.12212.

Adams, B., Dodge, S., Purves, R., (2020) JOSIS’s 10^th anniversary special feature: part two, Journal of Spatial Information Science. No. 21, pp. 1–4. Editorial. doi:10.5311/JOSIS.2020.21.729

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

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

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 Geographical Information Science, 33(5), pp. 855 – 876, doi:10.1080/13658816.2018.1564317

Long, J. A ., Weibel, R., Dodge, S. & Laube P. (2018), Moving ahead with computational movement analysis, International Journal of Geographical Information Science, Volume 32, Issue 7, pp. 1275 – 1281, doi: 10.1080/13658816.2018.1442974.

Ahearn, S.C., Dodge, S. (2018), Recursive Multi-frequency Segmentation of Movement Trajectories (ReMuS), Methods in Ecology and Evolution, 9(4), 1075 –1087.

Obringer, R., Bohrer, G., Weinzierl, R., Dodge, S., Deppe, J., Ward, M., Brandes, D., Kays, R., Flack, A., and Wikelski, M., (2018) Track Annotation: Determining the Environmental Context of Movement Through the Air. In Chilson, P.B., Frick, W.F., Kelly, J.F., Liechti., F., (Eds.), Aeroecology. Chapter 4, pp. 71 – 76, Springer. doi:10.1007/978-3-319-68576-2_4.

Soleymani, A., Pennekamp, F., Dodge, S., and Weibel, R., (2017). Characterizing change points and continuous transitions in movement behaviors using wavelet decomposition. Methods in Ecology and Evolution. Volume 8, Issue 9, September 2017, pp. 1113 – 1123. doi: 10.1111/2041-210X.12755

Ahearn, S.C., Dodge, S., Simcharoen, A., Xavier., G., Smith, J.L.D., (2017), A context-sensitive correlated random walk: A new simulation model for movement. International Journal of Geographical Information Science,31:5, pp 867 –883, doi:10.1080/13658816.2016.1224887. [pdf]

Dodge, S., (2016). From Observation to Prediction: The Trajectory of Movement Research in GIScience. In Onsrud, H. and Kuhn, W., (Eds.), Advancing Geographic Information Science: The Past and Next Twenty Years. Chapter 9. pp. 123 – 136. GSDI Association Press. [pdf]

Dodge, S., Weibel, R., Ahearn, SC., Buchin, M., Miller, J. (2016). Analysis of movement data, International Journal of Geographical Information Science, Volume 30, Issue 5, pages 825–834, doi:10.1080/13658816.2015.1132424. [pdf]

Buchin, M., Dodge, S., and Speckmann, B. (2014). Similarity of Trajectories Taking into Account Geographic Context. Journal of Spatial Information Science (JOSIS). No. 9, pp. 101–124, doi:10.5311/JOSIS.2014.9.179.

Soleymani, A., Cachat, J., Robinson, K., Dodge, S., Kalueff, A., and Weibel, R., (2014). Integrating cross-scale analysis in the spatial and temporal domains for classification of behavioral movement. Journal of Spatial Information Science (JOSIS). No. 8, pp. 1–25, doi:10.5311/JOSIS.2014.8.162.

Dodge, S., Bohrer, G., Bildstein, K., Davidson, S.C., Weinzierl, R., Bechard, M.J., Barber, D., Kays, R., Brandes, D., Han, J., and Wikelski, M., (2014). Environmental effects on multi-year variability in movement ecology of turkey vultures (Cathartes aura) in North and South America. Philosophical Transactions B. Special issue: Satellite Remote Sensing for Biodiversity Research and Conservation Applications. May 2014, 369: 20130195. doi:10.1098/rstb.2013.0195.

Dodge, S., Bohrer, G., Weinzierl, R., Davidson, S.C., Kays, R., Douglas, D., Cruz, S., Han, J., Brandes, D., and Wikelski, M., (2013). The Environmental-Data Automated Track Annotation (Env-DATA) System: Linking Animal Tracks with Environmental Data. Movement Ecology, July 2013, 1:3, BioMed Central Ltd. doi:10.1186/2051-3933-1-3.

Dodge, S., Laube, P., and Weibel, R. (2012). Movement Similarity Assessment Using Symbolic Representation of Trajectories. International Journal of Geographical Information Science. Volume 26, Issue 9, pages 1563–1588, Taylor & Francis.

Dodge, S., Weibel, R. and Forootan, E. (2009). Revealing the Physics of Movement: Comparing the Similarity of Movement Characteristics of Different Types of Moving Objects. Computers, Environment and Urban Systems, Volume 33, Issue 6, November 2009, pages 419–434.

Dodge, S., Weibel, R. and Lautenschutz, A-K. (2008). Towards a Taxonomy of Movement Patterns. Information Visualization, Vol. 7, pages 240–252.

Peer-reviewed Conference Papers

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

Su, R., Dodge, S., Goulias, K., (2021) A time-geographic approach to quantify the duration of interaction in movement data, the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, 2021 ACM SIGSPATIAL Conference. ~~Received Best Paper Award~~

Dodge, S., (2020), Towards a cartographic framework for movement, In proceedings of AutoCarto 2020: the 23rd International Research Symposium on cartography and GIScience. November 18-20, 2020, Esri Campus, Redlands, CA.

Dodge, S., (2018), Embracing visualization as a key element in computational movement analytics, In Freundschuh, S.M., Sinton, D., (Eds.) AutoCarto / UCGIS 2018, The 22nd International Research Symposium on Computer-based Cartography and GIScience, Pages 52–57, 22 – 24 May, Madison, WI.

Dodge, S., (2016), Context-sensitive spatiotemporal simulation model for movement, GIScience 2016, 27-30 September, Montreal, Canada.

Bohrer, G., Kays, R., Davidson, S., Weinzierl, R., Dodge, S., McClain, K.M., Wikelski, M., (2015). Remote Sensing in Support of Endangered Species Management and Animal Movement Research — The Env-DATA tool pack. The 66th International Astronautical Congress. pp. 2-7, 12-16 October, Jerusalem, Israel, IAC-15-B5,2,8,x30258.

Xavier, G. and Dodge, S., (2014). An Exploratory Visualization Tool for Mapping the Relationships between Animal Movement and the Environment. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Interacting with Maps. pp. 36–42, doi:10.1145/2677068.2677071

Buchin, M., Dodge, S., and Speckmann, B. (2012). Context-Aware Similarity of Trajectories. In Xiao, N., Kwan, M.P., Goodchild, M.F. & Shekhar, S. (Eds.): Geographic Information Science, Lecture Notes in computer Science (LNCS): 7478, pages 43-56, Springer-Verlag Berlin Heidelberg, GIScience 2012. 18-21 September 2012, Columbus, Ohio. USA.

Dodge, S., Weibel, R., and Laube, P. (2011). Trajectory Similarity Analysis in Movement Parameter Space. GISRUK 2011, pages 270-279. Short paper. April 27-29, 2011, University of Portsmouth, UK.

Dodge, S., Weibel, R. and Laube, P. (2009). Exploring Movement – Similarity Analysis of Moving Objects. The SIGSPATIAL Special, Volume 1, Issue 3, pages 11-16. The 17th ACM International Conference on Advances in Geographic Information Systems. 4-6 November 2009. PhD Showcase.

Edited Volumes

Long, J., Weibel., R., Dodge, S., and Laube, P., (2018), Special Issue in Memoriam of Professor Rein Ahas on Computational Movement Analysis, International Journal of Geographical Information Science, Volume 32, Issue 7–8, July–August 2018, pages 1275 — 1698, ISSN 1365-8816. Taylor & Francis.

Birkin, M., Dodge, S., Fasy B.T., and Mann, R.P. (2018), From Observations to Prediction of Movement (Dagstuhl Seminar 18282). Dagstuhl Reports, Volume 7, Issue 7, pages 54 — 71. doi:10.4230/DagRep.7.7.54

Weibel., R., Dodge, S., Ahearn, SC, Buchin, M., Miller, J. (2016), Special Issue on Analysis of Movement Data, International Journal of Geographical Information Science, Volume 30, Issue 5-6, May–June 2016, pages 825 — 1253, ISSN 1365–8816, Taylor & Francis.