* Corresponding author

Edited | Books | Reports

1. McKenzie, G., Calafiore, A., Tenkanen, H., Kim, E.-K., & Pereira, R. H. M. (Special Issue Guest Editors). (2025). Special Issue: Environmentally and Socially Sustainable Mobility. In Computers, Environment and Urban Systems. More Info.

2. McKenzie, G., & Kim, E.-K. (2024). Report from the Geoprivacy for Personalized Health Workshop 2024: September 13, 2024 | Montréal, Québec, Canada. OSF (Open Science Framework). DOI | https://osf.io/v8g72 (in English) | https://osf.io/cuawr (in French).

3. McKenzie, G., Calafiore, A., Ballatore, A., Tenkanen, H., Pereira, R., Fink, C., da Silva Brum Bastos, V., & Kim, E.-K. (2023). Report from the Equitable Accessibility and Sustainable Mobility Workshop 2023: September 12, 2023 | Leeds, United Kingdom. OSF (Open Science Framework). DOI | https://osf.io/2x7nb   

4. Kim, E.-K.*, Conrow, L., Röcke, C., Chaix, B., Weibel, R., & Perchoux, C. (Special Issue Guest Editors). (2023). Special Issue: Advances and Challenges in Sensor-based Research in Mobility, Health, and Place. In ‘Health & Place’. More Info

5. Perez, L., Kim, E.-K., & Sengupta, R. (Eds.) (2018). Agent-Based Models and Complexity Science in the Age of Geospatial Big Data. In Balram, S. & Dragicevic, S. (Series Eds.), ‘Advances in Geographic Information Science’ Series, Springer International Publishing. DOI

6. Brown, D. G., Kim, E.-K., Perez, L., & Sengupta, R. (Eds.) (2016). Proceedings of GIScience 2016 Workshop on “Rethinking the ABCs: Agent-Based Models and Complexity Science in the age of Big Data, CyberGIS, and Sensor Networks” (33 pages). Montréal, Canada, September 27, 2016. DOI | PDF

7. Ryoo, J. & Kim, E.-K. (2016). Big Data E-Textbook. E-Textbook

Peer-reviewed Journal Articles

1. Luo, M., Kim, E.-K., Weibel, R., Martin, M., & Röcke, C. (2025). Distance from Home and Working Memory: Daily Associations Varying by Neighborhood Environments in Community-Dwelling Older Adults. European Journal of Ageing 22: 17. DOI

2. Kim, E.-K., Yoon, S., Jung, S. U., & Kweon, S. J. (2024). Optimizing Urban Park Locations with Addressing Environmental Justice in Park Access and Utilization by Using Dynamic Demographic Features Derived from Mobile Phone Data. Urban Forestry & Urban Greening, 99: 128444. DOI

3. Kim, E.-K.*, Conrow, L., Röcke, C., Chaix, B., Weibel, R., & Perchoux, C. (2023). Advances and Challenges in Sensor-based Research in Mobility, Health, and Place. Health & Place, 79: 102972. DOI

4. Luo, M., Kim, E.-K.*, Weibel, R., Martin, M., & Röcke, C. (2023). GPS-Derived Daily Mobility and Daily Well-Being in Community-Dwelling Older Adults. Gerontology, 1-13. DOI

5. Rössler, R., Rommers, N., Kim, E.-K., Iendra, L., Sofios, A., Giannouli, E., Portegijs, E., Rantanen, T., Infanger, D., Bridenbaugh, S., Engelter, S. T., Schmidt-Trucksäss, A., Weibel, R., Peters, N., & Hinrichs, T. (2023). Timed up-and-go performance is associated with objectively measured life-space in patients 3 months after first ischemic stroke: a cross-sectional observational study. Journal of Neurology, 270(4), 1999–2009.  DOI

6. Giannouli, E., Kim, E.-K., Fu, C., Weibel, R., Sofios, A., Infanger, D., Portegijs, E., Rantanen, T., Huang, H., Schmidt-Trucksäss, A., Zeller, A., & Hinrichs, T. (2022). Psychometric properties of the MOBITEC-GP mobile application for real-life mobility assessment in older adults. Geriatric Nursing, 48, 273-279. DOI

7. Psyllidis, A., Gao, S., Hu, Y., Kim, E.-K., McKenzie, G., Purves, R., Yuan, M., Andris, C. (2022). Points of Interest (POI): A commentary on the state of the art, challenges, and prospects for the future. Computational Urban Science, 2(20). DOI

8. Fillekes, M. P., Kim, E.-K., Trumpf, R., Zijlstra, W., Giannouli, E., & Weibel, R. (2019). Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators. Sensors 19(20), 4551. DOI

9. Fillekes, M. P., Giannouli, E., Kim, E.-K., Zijlstra, W., & Weibel, R. (2019). Towards a Comprehensive Set of GPS-based Indicators Reflecting the Multidimensional Nature of Daily Mobility for Applications in Health and Aging Research. International Journal of Health Geographics, 18(1), 17. DOI

10. Shook, E., Bowlick, F., Kemp, K., Ahlqvist, O., Carbajales, P., DiBiase, D., Kim, E.-K., Lathrop, S., Ricker, B., Rickles, P., Rush, J., Swift, J., & Wang, S. (2019). Cyber Literacy for GIScience: Toward Formalizing Geospatial Computing Education. The Professional Geographer, 71(2), 221-238. DOI

11. Kim, E.-K. & Jo, H.-H. (2016). Measuring Burstiness for Finite Event Sequences. Physical Review E, 94(3): 032311. DOI | Arxiv

12. Moon, S., Kim, E.-K., & Hwang, C.-S. (2014). Effects of Spatial Distribution on Change Detection in Animated Choropleth Maps. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 32(6), 571-580. DOI | Full Text

Peer-reviewed Conference Full Papers & Book Chapters

1. Tian, T. & Kim, E.-K.* (2021). Multi-Year Spatial Variability of the Impact of Sociodemographic, Behavioral, and Health Factors on Depression of Older Adults. The Proceedings of the International Cartographic Association (eISSN 2570-2092). DOI

2. Klippel, A., Wallgrün, J. O., Yang, J., Mason, J. S., Kim, E.-K., & Mark, D. M. (2013). Fundamental cognitive concepts of space (and time): Using cross-linguistic, crowdsourced data to cognitively calibrate modes of overlap. In Spatial information theory (pp. 377-396). Springer International Publishing. DOI

Peer-reviewed Conference Short Papers (Short Papers, Extended Abstracts, Posters)

1. Lee, Y., Kim, E.-K.*, & Yoo, J. (2023). Towards Robust Contrail Detection by Mitigating Label Bias via a Probabilistic Deep Learning Model: A Preliminary Study. ACM SIGSPATIAL Student Research Competition 2023. DOI

2. Kim, E.-K.*, Ebert, E., & Weibel, R. (2021). The Effect of Post-Processing in Stop-Move Detection of GPS Data: A Preliminary Study (Short Paper). Proceedings of the 16th Conference on Location Based Services (LBS 2021). PDF | DOI

3. Kim, E.-K.*, Fillekes, M. P., Röcke, C., & Weibel, R. (2021). Dimensions of GPS-derived Daily Mobility in Older Adults (Short Paper). Advancing Movement Data Science (AMD’21) Workshop at GIScience 2021, Online (Poznań, Poland), September 2021. PDF

4. Kim, E.-K.* (2018). Stay-Move Tree for Summarizing Spatiotemporal Trajectories (Short Paper). In Raubal, M., Wang, S., Guo, M., Jonietz, D., & Kiefer, P. (Eds.) Spatial Big Data and Machine Learning in GIScience, Workshop at GIScience 2018, Melbourne, Australia, August 2018. PDF | DOI

5. Kim, E.-K.* & MacEachren, A. M.  (2014). An Index for Characterizing Spatial Bursts of Movements: A Case Study with Geo-Located Twitter Data. Extended Abstracts of GIScience 2014 Workshop on Analysis of Movement Data, Vienna, Austria, September 2014. DOI

6. Kim, E.-K.* & MacEachren, A. M. (2014). Movement Regularity Analysis using Geo-Located Twitter Data (Poster). In Stewart, K., Pebesma, E., Navratil, G. Fogliaroni, P., & Duckham, M. (Eds.), Extended Abstract Proceedings of the GIScience 2014 (pp.328-331). In Frank, A. (Series Ed.), GeoInfo Series Vienna 2014, Austria. PDF

7. Kim, E.-K.* & MacEachren, A. M. (2013). Quantifying Magnitude of Change for Animated Maps (Poster). Extended Abstracts of 26th International Cartographic Conference (ICC 2013), Dresden, Germany, August 2013. PDF

8. Won, S.-H., Kim, E.-K., Kang, J.-Y., & Hwang, C. (2011). GIS Application for Prediction of Archaeological Site Distribution [In Korean]. Proceedings of the Korean Geographical Society (KGS) Annual Meeting, Seoul, Korea, May 2011. PDF

9. Kim, E.-K.* & Hwang, C. (2010). 3D Sequential Object Clustering for Spatio-temporal Data Analysis [In Korean]. Extended Abstracts of the Korean Geographical Society (KGS) Annual Meeting, Seoul, Korea, May 2010. PDF

Non-Refereed Journal Articles

1. Kim, E.-K. & Jeong, W. (2006). A Study on Application of Cartogram for Thematic Map [in Korean]. Kyung Hee Geographical Review, 34: 1-17.