Eun-Kyeong Kim

Eun-Kyeong Kim, Dr.

Postdoc

Geographic Information Systems

Tel.: 044 63 55256

Room number: Y25 J 86

eun-kyeong.kim@geo.uzh.ch

Website

Research Interest

My research interests lie in developing theories, methodologies, and applications for analyzing spatio-temporal dynamics of human and environmental phenomena by adopting statistics, data mining, and machine learning techniques.

I am currently involved in an interdisciplinary research project, MOASIS (Mobility, Activity and Social Interaction Study) as a postdoctoral researcher at the University Research Priority Program 'Dynamics of Healthy Aging' and the Department of Geography, University of Zurich. 

My current research projects include but not limited to:

  • Theories and Statistical Methodology Development for Measuring Spatial and Temporal Heterogeneity and Bursty Patterns of Geographic Events;
  • Human Mobility Pattern Analysis using Multi-Sensor Datasets including GPS, Accelerometry, Audio data, and Momentary Survey Data;
  • Automatic Place Detection and Semantic Trajectory Analysis using Machine Learning;
  • Longitudinal and Spatial Analysis of Older Adults' Mental Health and their Socio-Environmental Status.

Recent Publications

  1. 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
  2. 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
  3. 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
  4. Kim, E.-K. (2018). Stay-Move Tree for Summarizing Spatiotemporal Trajectories (Short Paper). Raubal, M., Wang, S., Guo, M., Jonietz, D., & Kiefer, P. (Eds.) Proceedings of Spatial Big Data and Machine Learning in GIScience, Workshop at GIScience 2018, Melbourne, Australia, August 2018. DOI
  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. Kim, E.-K. & Jo, H.-H. (2016). Measuring Burstiness for Finite Event Sequences. Physical Review E, 94(3): 032311. DOI

Supervising Research Projects

On-going Project

Elena Ebert (Fall 2019 ~): Master Thesis on "Comparison and Optimization of Stop-Move Detection Algorithms for GPS Data of Older Adults"

Completed Project

Tian Tian (2018.10 ~ 2019.09): Master Thesis on "Longitudinal Spatial Analysis of the Impact of Sociodemographic Status on Mental and Physical Well-being of the Elderly"

Course Development and Teaching

Spring 2019

GEO 881: Advanced Spatial Analysis II 

  • A course is served for master and doctoral students.
  • Lectures and tutorials were redesigned revolving around spatial prediction and spatial machine learning.

Currently Organizing Events

Upcoming events

Past events since 2019