Publications

[27] Callahan S, Hwang S, Isler B, Wiedbusch E, and Jason LA (in press) Census characteristics of Illinois sober living homes: a Geographic Information Systems study. Journal of Prevention and Intervention in the Community. https://doi.org/10.1080/10852352.2019.1633067

[26] Schneider K, Crews R, Subramanian V, Moxley E, Hwang S, DiLiberto FE, Aylward L, Bean J, Yalla S (in press) Feasibility of a low intensity, technology-based intervention for increasing physical activity in adults at risk for a diabetic foot ulcer: a mixed methods study. Journal of Diabetes Science and Technology. https://doi.org/10.1177/1932296818822538

[25] Hanke TA, Hwang S, Keller S, Zielke D, Hailey T, Krumdick ND, and Evans CC (2019) Measuring community mobility in survivors of stroke using global positioning system technology: a prospective observational study, Journal of Neurologic Physical Therapy. 43(3): 175-185.

[24] McHaffie P, Hwang S, and Follett C (2018) GIS: An Introduction to Mapping Technologies, CRC Press/Taylor & Francis Group.

[23] Crews RT, Schneider KL, Hwang S, Moxley E, Subramanian V, Aylward L, DiLiberto F & Yalla SV. (2018) “Preliminary Findings of Low-cost Interventions to Increase Physical Activity in Adults at Risk for a Diabetic Foot Ulcer.” Diabetic Foot Global Conference (DFCon), Journal of Diabetes Science and Technology.

[22] Hwang S, Hanke T & Evans C (2018) GPS data mining for monitoring community mobility of individuals. in Frontiers in Information System: GIS – An Overview of Application, (Ed. Teodoro, A.) Bentham Science, pp. 184-207.

[21] Hwang S, VanDeMark C, Dhatt N, Yalla SV & Crews RT (2018) Segmenting human trajectory data by movement states while addressing signal loss and signal noise. International Journal of Geographical Information Science. Vol. 32(7): 1391-1412.

[20] Crews, R., Yalla, S., Dhatt, N., Burdi, R., and Hwang, S. (2017) Monitoring location specific physical activity via integration of accelerometry and geotechnology within patients with or at-risk of diabetic foot ulcers. Journal of Diabetes Science and Technology, 11(5) 899-903.

[19] Hwang, S., Yalla, S., and Crews, R. (2017) Processing uncertain GPS trajectory data for assessing the locations of physical activity. In (Eds. Schintler, L.A. & Zhenhua, C.) Big Data for Regional Science. Routledge, pp. 131-142.

[18] Hwang S, Hanke T, and Evans C, (2016) Detecting stop episodes from GPS trajectories with gaps. in Seeing Cities Through Big Data – Research, Methods and Applications in Urban Informatics, P. Thakuriah, N. Tilahun, and M. Zellner (ed.) Springer, pp. 427-439.

[17] Hwang, S. (2015) Residential Segregation, Housing Submarkets, and Spatial Analysis: St. Louis and Cincinnati as a Case Study. Housing Policy Debate, vol. 25(1) 91-115.

[16] Hwang, S. (2014) A Tale of Two cities: Residential Segregation in St. Louis and Cincinnati. in Chris Lloyd, Ian Shuttlefield and David Wong (ed.) Social-Spatial Segregation: Concepts, Processes and Outcomes, Policy Press, Bristol (UK), pp. 301-332.

[15] Hwang, S. (2014) Conceptual Framework for Using GIS in Building Community Capital towards Sustainability. in Nayna Nielson (ed.) Geographic Information Systems (GIS): Techniques, Applications and Technologies, NOVA Publishers, New York, p. 33-66.*

[14] Hwang S, Hanke T, and Evans C (2013) Clustering-based event detection from GPS track data, Journal of Data Processing 3(3): 119-126.

[13] Hwang, S., Hanke, T, and Evans, C. (2013) Automated extraction of community mobility measures from GPS stream data using temporal DBSCAN. Lecture Notes in Computer Science, vol. 7972 86-98.

[12] Hwang, S. (2013) Placing GIS in Sustainability Education. Journal of Geography in Higher Education, vol. 37(2) 276-291.

[11] Ljubomir P, Settle A, Hwang S, and Jones J. (2010) A Framework for Computational Thinking across the Curriculum. Proceedings of the 15th Annual Conference on Innovation and Technology in Computer Science Education, pp. 123-127 (ISBN: 978-1-60558-820-9).

[10] Hwang S, and Thill, J-C. (2010) Influence of Job Accessibility on Housing Market Processes: Study of Spatial Stationarity in the Buffalo and Seattle Metropolitan Areas. in Xiaobai Yao and Bin Jiang (ed.) Geospatial Analysis and Modeling of Urban Structure and Dynamics, Springer, Dordrecht; New York, pp. 373-391.

[9] Hwang, S. (2010) GIS in Transportation. in Barney Warf (ed.) Encyclopedia of Geography, Sage Publication, Thousand Oaks, CA, pp. 1311-1312.*

[8] Hwang, S. (2009) The Effect of Housing Market Segmentation on Commuting: Empirical Analyses of 85 Metropolitan Areas in the United States, VDM Verlag (ISBN: 3639161742).

[7] Hwang, S. and Thill, J-C. (2009) Delineating Urban Housing Submarkets with Fuzzy Clustering. Environment & Planning B, vol. 36 (5) 865-882.

[6] Hwang S, and Thill J-C. (2007) Using Fuzzy Clustering Methods for Delineating Urban Housing Submarkets. Proceedings of the15th Annual ACM International Symposium on Advances in Geographic Information Systems, pp. 99-106 (ISBN: 978-1-59593-914-2).

[5] Flanigan, M., Blatt, A., Lombardo, L., Mancuso, D., Miller, M., Wiles, D., Pirson, H., Hwang, J., Thill, J-C., and Majka, K. (2005) Assessment of Air Medical Coverage Using the Atlas and Database of Air Medical Services and Correlations with Reduced Highway Fatality Rates. Air Medical Journal, vol. 24 (4) 151-163.

[4] Hwang, S, and Thill, J-C. (2005) Modeling Localities with Fuzzy Sets and GIS. in Frederick Petry, Vincent Robinson and Maria Cobb (ed.) Fuzzy Modeling with Spatial Information for Geographic Problems, Springer, Berlin, pp. 71-104. 2005.*

[3] Hwang, S. (2005) Extending Spatial Hot Spot Detection Techniques to Temporal Dimensions, presented at the 4th ISPRS Workshop on Dynamic and Multi-dimensional GIS (DMGIS ’05), International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences.

[2] Hwang S, and Thill J-C. (2004). Empirical Study on Location Indeterminacy of Localities. in Peter Fisher (ed.) Developments in Spatial Data Handling: 11th International Symposium on Spatial Data Handling, Springer, Berlin, pp. 271-283 (ISBN: 978-3-540-26772-0).

[1] Hwang, S. (2004) Using Formal Ontology for Integrated Spatial Data Mining. Lecture Notes in Computer Science, vol. 3044 1026-1035.