Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data

Cartography and Geographic Information Science

Volumn 44, Issue 3, 2017, Pages 216-228

  Robinson, Anthony C ^a   Peuquet, Donna J ^a   Pezanowski, Scott ^a   Hardisty, Franklin A ^a   Swedberg, Brian ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

evaluation; Event data; geovisualization; sequence analysis; T pattern; temporal analysis; usability; visual analytics

Indexed keywords

VISUALIZATION;

EVALUATION; EVENT DATA; GEO VISUALIZATIONS; SEQUENCE ANALYSIS; T PATTERNS; TEMPORAL ANALYSIS; USABILITY; VISUAL ANALYTICS;

DATA MINING;

COMPUTER SIMULATION; DESIGN METHOD; GEOSTATISTICS; PATTERN RECOGNITION; SPATIOTEMPORAL ANALYSIS; TEMPORAL ANALYSIS; VALUATION; VISUAL ANALYSIS; VISUALIZATION;

SYRIAN ARAB REPUBLIC;

EID: 84958544020     PISSN: 15230406     EISSN: 15450465     Source Type: Journal    
DOI: 10.1080/15230406.2016.1139467     Document Type: Article

References (56)

1. Al-Rfou, R., B., Perozzi, and S., Skiena. 2013. “Polyglot:Distributed Word Representations for Multilingual NLP.” Paper presented at the Seventeenth Conference on Computational Natural Language Learning, Sofia, Bulgaria, August 8–9.
2. Anastacio, I., B., Martins, and P., Calado. 2009. “Classifying Documents According to Locational Relevance.” Progress in Artificial Intelligence, Lecture Notes in Computer Science 5816:598–609.
3. Andrienko, G., and N., Andrienko. 1999. “Interactive Maps for Visual Data Exploration.” International Journal of Geographical Information Science 13 (4):355–374. doi:10.1080/136588199241247.
4. Andrienko, N., and G., Andrienko. 2011. “Spatial Generalization and Aggregation of Massive Movement Data.” IEEE Transactions on Visualization and Computer Graphics 17 (2):205–219. doi:10.1109/TVCG.2010.44.
5. Andrienko, G., N., Andrienko, H., Bosch, T., Ertl, G., Fuchs, P., Jankowski, and D., Thom. 2013. “Thematic Patterns in Georeferenced Tweets through Space-Time Visual Analytics.” Computing in Science & Engineering 15 (3):72–82. doi:10.1109/MCSE.2013.70.
6. Andrienko, G., N., Andrienko, and M., Heurich. 2011. “An Event-Based Conceptual Model for Context-Aware Movement Analysis.” International Journal of Geographical Information Science 25 (9):1347–1370. doi:10.1080/13658816.2011.556120.
7. Andrienko, G., N., Andrienko, C., Hurter, S., Rinzivillo, and S., Wrobel. 2011. “From Movement Tracks Through Events to Places:Extracting and Characterizing Significant Places from Mobility Data.” In IEEE Symposium on Visual Analytics Science and Technology (VAST 2011), edited by S. Miksch and M. Ward, 161–170. Providence, RI:IEEE.
8. Bakillah, M., R.-Y., Li, and S. H. L., Liang. 2015. “Geo-Located Community Detection in Twitter with Enhanced Fast-Greedy Optimization of Modularity:The Case Study of Typhoon Haiyan.” International Journal of Geographical Information Science 29 (2):258–279. doi:10.1080/13658816.2014.964247.
9. Brooke, J., 1996. “SUS:A “Quick and Dirty” Usability Scale.” In Usability Evaluation in Industry, edited by P. W., Jordan, B., Thomas, B. A., Weerdmeester, and A. L., McClelland, 252. London:Taylor and Francis.
10. Buttenfield, B., 1999. “Usability Evaluation of Digital Libraries.” Science & Technology Libraries 17 (3–4):39–59. doi:10.1300/J122v17n03_04.
11. Çöltekin, A., S. I., Fabrikant, and M., Lacayo. 2010. “Exploring the Efficiency of Users’ Visual Analytics Strategies Based on Sequence Analysis of Eye Movement Recordings.” International Journal of Geographical Information Science 24 (10):1559–1575. doi:10.1080/13658816.2010.511718.
12. Dodge, S., P., Laube, and R., Weibel. 2012. “Movement Similarity Assessment Using Symbolic Representation of Trajectories.” International Journal of Geographical Information Science 26 (9):1563–1588. doi:10.1080/13658816.2011.630003.
13. Endsley, M. R., 1995. “Toward a Theory of Situation Awareness in Dynamic Systems.” Human Factors:The Journal of the Human Factors and Ergonomics Society 37 (1):32–64. doi:10.1518/001872095779049543.
14. Fabrikant, S. I., S., Rebich-Hespanha, N., Andrienko, G., Andrienko, and D. R., Montello. 2008. “Novel Method to Measure Inference Affordance in Static Small-Multiple Map Displays Representing Dynamic Processes.” The Cartographic Journal 45 (3):201–215. doi:10.1179/000870408X311396.
15. Finkel, J. R., T., Grenager, and C., Manning. 2005. “Incorporating Non-Local Information into Information Extraction Systems by Gibbs Sampling.” In Proceedings of the 43rd Annual Meeting, Association for Computational Linguistics, edited by K. Knight, 363–370. Stroudsburg, PA:Association for Computational Linguistics.
16. Gabadinho, A., G., Ritschard, M., Studer, and N. S., Müller. 2011. “Extracting and Rendering Representative Sequences.” In Knowledge Discovery, Knowledge Engineering and Knowedge Management, edited by A., Fred, J. L. G., Deietz, K., Liu, and J., Filipe, 94–106. Berlin:Springer-Verlag.
17. Gamma, E., R., Helm, R., Johnson, and J., Vlissides. 1993. “Design Patterns:Abstraction and Reuse of Object-Oriented Design.” Paper presented at the 7th European Conference on Object-Oriented Programming (ECOOP ‘93), Kaiserslautern, Germany, July 26–30.
18. Guo, D., 2010. “Local Entropy Map:A Nonparametric Approach to Detecting Spatially Varying Multivariate Relationships.” International Journal of Geographical Information Science 24 (9):1367–1389. doi:10.1080/13658811003619143.
19. Guo, D., J., Chen, A. M., MacEachren, and K., Liao. 2006. “A Visualization System for Space-Time and Multivariate Patterns (Vis-Stamp).” IEEE Transactions onVisualization and Computer Graphics 12 (6):1461–1474. doi:10.1109/TVCG.2006.84.
20. Hardisty, F., and A. C., Robinson. 2011. “The Geoviz Toolkit:Using Component-Oriented Coordination Methods for Geographic Visualization and Analysis.” International Journal of Geographical Information Science 25 (2):191–210. doi:10.1080/13658810903214203.
21. Harrower, M., and C. A., Brewer. 2003. “ColorBrewer.org:An Online Tool for Selecting Colour Schemes for Maps.” The Cartographic Journal 40 (1):27–37. doi:10.1179/000870403235002042.
22. Ho, Q., P., Lundblad, T., Astrom, and M., Jern. 2012. “A Web-Enabled Visualization Toolkit for Geovisual Analytics.” Information Visualization 11 (1):22–42. doi:10.1177/1473871611425870.
23. Hu, Y., H., Miller, and X., Li. 2014. “Detecting and Analyzing Mobility Hotspots using Surface Networks.” Transactions in GIS 18 (6):911–935. doi:10.1111/tgis.12076.
24. Hudson, V. M., P. A., Schrodt, and R. D., Whitmer. 2008. “Discrete Sequence Rule Models as a Social Science Methodology:An Exploratory Analysis of Foreign Policy Rule Enactment within Palestinian-Israeli Event Data.” Foreign Policy Analysis 4:105–126. doi:10.1111/j.1743-8594.2007.00060.x.
25. Karimzadeh, M., W., Huang, S., Banerjee, J. O., Wallgrun, F., Hardisty, S., Pezanowski, P., Mitra, and A. M., MacEachren. 2013. “Geotxt:A Web API to Leverage Place References in Text.” In 7th ACM SIGSPATIAL Workshop on Geographic Information Retrieval, edited by C. Jones and R. Purves. New York:Association for Computing Machinery.
26. Kruskal, J. B., 1983. “An Overview of Sequence Comparison.” In Time Warps, String Edits, and Macromolecules:The Theory and Practice of Sequence Comparison, edited by D., Sankoff and J. B., Kruskal, 1–44. Reading, MA:Addison-Wesley.
27. Lammarsch, T., W., Aigner, A., Bertone, S., Miksch, and A., Rind. 2014. “Mind the Time:Unleashing Temporal Aspects in Pattern Discovery.” Computers & Graphics 38:38–50. doi:10.1016/j.cag.2013.10.007.
28. Laube, P., and R. S., Purves. 2006. “An Approach to Evaluating Motion Pattern Detection Techniques in Spatio-Temporal Data.” Computers, Environment and Urban Systems 30 (3):347–374. doi:10.1016/j.compenvurbsys.2005.09.001.
29. Li, L., M. F., Goodchild, and B., Xu. 2013. “Spatial, Temporal, and Socioeconomic Patterns in the Use of Twitter and Flickr.” Cartography and Geographic Information Science 40 (2):61–77. doi:10.1080/15230406.2013.777139.
30. MacEachren, A. M., A., Jaiswal, A. C., Robinson, S., Pezanowski, A., Savelyev, P., Mitra, X., Zhang, and J., Blanford. 2011. “Senseplace2:Geotwitter Analytics Support for Situation Awareness.” IEEE Conference on Visual Analytics Science and Technology, Providence, RI, 28–30 October.
31. Maciejewski, R., R., Hafen, S., Rudolph, S. G., Larew, M. A., Mitchell, W. S., Cleveland, and D. S., Ebert. 2011. “Forecasting Hotspots–A Predictive Analytics Approach.” IEEE Transactions onVisualization and Computer Graphics 17 (4):440–453. doi:10.1109/TVCG.2010.82.
32. Magnusson, M. S., 2000. “Discovering Hidden Time Patterns in Behavior:T-Patterns and Their Detection.” Behavior Research Methods, Instruments, & Computers 32 (1):93–110. doi:10.3758/BF03200792.
33. Malik, A., R., Maciejewski, S., Towers, S., McCullough, and D. S., Ebert. 2014. “Proactive Spatiotemporal Resource Allocation and Predictive Visual Analytics for Community Policing and Law Enforcement.” IEEE Transactions onVisualization and Computer Graphics 20 (12):1863–1872. doi:10.1109/TVCG.2014.2346926.
34. Meyer, B., 2002. “Polyglot Programming.” Software Development 8 (5):68–71.
35. Nystrom, N., M. R., Clarkson, and A. C., Myers. 2003. “Polyglot:An Extensible Compile Framework for Java.” Paper presented at the 12th International Conference on Compiler Construction, Warsaw, Poland, April 7–11.
36. Pei, J., J., Han, B., Mortazavi-Asl, J., Wang, H., Pinto, Q., Chen, U., Dayal, and M.-C., Hsu. 2004. “Mining Sequential Patterns by Pattern-Growth:The Prefixspan Approach.” IEEE Transactions on Knowledge and Data Engineering 16 (11):1424–1440. doi:10.1109/TKDE.2004.77.
37. Peuquet, D. J., A. C., Robinson, S., Stehle, F. A., Hardisty, and W., Luo. 2015. “A Method for Discovery and Analysis of Temporal Patterns in Complex Event Data.” International Journal of Geographical Information Science 29:9.
38. Pirolli, P., and S., Card. 2005. “The Sensemaking Process and Leverage Points for Analyst Technology as Identified through Cognitive Task Analysis.” Paper presented at the International Conference on Intelligence Analysis, McLean, VA, May 2–6.
39. Rinner, C., and J. P., Taranu. 2006. “Map-Based Exploratory Evaluation of Non-Medical Determinants of Population Health.” Transactions in GIS 10 (4):633–649. doi:10.1111/tgis.2006.10.issue-4.
40. Robinson, A. C., 2007. “A Design Framework for Exploratory Geovisualization in Epidemiology.” Information Visualization 6 (3):197–214. doi:10.1057/palgrave.ivs.9500155.
41. Robinson, A. C., 2011. “Highlighting in Geovisualization.” Cartography and Geographic Information Science 38 (4):373–383. doi:10.1559/15230406384373.
42. Schrodt, P., 2007. “Inductive Event Data Scaling Using Item Response Theory.” Paper presented at the Summer meeting of the Society for Political Methodology, State College, PA, July 18–20.
43. Schrodt, P. A., Ö., Yilmaz, D. J., Gerner, and D., Hermreck. 2008. “The Cameo (Conflict and Mediation Event Observations) Actor Coding Framework.” Paper presented at the International Studies Association Annual Meeting, San Francisco, CA, March 26–29. https://www.researchgate.net/publication/228952533_Coding_Sub-State_Actors_using_the_CAMEO_Conflict_and_Mediation_Event_Observations_Actor_Coding_Framework
44. Seo, J., and B., Shneiderman. 2006. “Knowledge Discovery in High-Dimensional Data:Case Studies and a User Survey for the Rank-by-Feature Framework.” IEEE Transactions on Visualization and Computer Graphics 12 (3):311–322. doi:10.1109/TVCG.2006.50.
45. Shekhar, S., M. R., Evans, J. M., Kang, and P., Mohan. 2011. “Identifying Patterns in Spatial Information:A Survey of Methods.” Wiley Interdisciplinary Reviews:Data Mining and Knowledge Discovery 1 (3):193–214.
46. Shoval, N., and M., Isaacson. 2007. “Sequence Alignment as a Method for Human Activity Analysis in Space and Time.” Annals of the Association of American Geographers 97 (2):282–297. doi:10.1111/j.1467-8306.2007.00536.x.
47. Srikant, R., and R., Agrawal. 1996. “Mining Sequential Patterns:Generalizations and Performance Improvements.” In Advances in Database Technology (EDBT ’96), edited by P. Apers, M. Bouzeghoub, and G. Gardarin, 3–17. Berlin:Springer-Verlag.
48. Stefanidis, A., A., Cotnoir, A., Croitoru, A., Crooks, M., Rice, and J., Radzikowski. 2013. “Demarcating New Boundaries:Mapping Virtual Polycentric Communities through Social Media Content.” Cartography and Geographic Information Science 40 (2):116–129. doi:10.1080/15230406.2013.776211.
49. Stehle, S., 2013. “Pattern Matching Via Sequence Alignment:Analysing Spatio-Temporal Distances.” Paper presented at the Geocomputation 2013, Wuhan, China, May 23–25.
50. Takatsuka, M., and M., Gahegan. 2002. “Geovista Studio:A Codeless Visual Programming Environment for Geoscientific Data Analysis and Visualization.” Computers & Geosciences 28 (10):1131–1144. doi:10.1016/S0098-3004(02)00031-6.
51. Tomaszewski, B., and A. M., MacEachren. 2010. “Geo-Historical Context Support for Information Foraging and Sensemaking:Conceptual Model, Implementation, and Assessment.” Paper presented at the IEEE Conference on Visual Analytics Science and Technology, Salt Lake City, UT, October 24–29. doi:10.1109/VAST.2010.5652895.
52. Turdukulov, U., A. O. C., Romero, O., Huisman, and V., Retsios. 2014. “Visual Mining of Moving Flock Patterns in Large Spatio-Temporal Data Sets Using a Frequent Pattern Approach.” International Journal of Geographical Information Science 28 (10):2013–2029. doi:10.1080/13658816.2014.889834.
53. von Landesberger, T., S., Bremm, N., Andrienko, G., Andrienko, and M., Tekusova. 2012. “Visual Analytics Methods for Categoric Spatio-Temporal Data.” Paper presented at the Visual Analytics Science and Technology (VAST) Conference, Seattle, WA, October 14–19. doi:10.1109/VAST.2012.6400553.
54. Wampler, D., and T., Clark. 2010. “Guest Editor’s Introduction:Multiparadigm Programming.” IEEE Software 27 (5):20–24. doi:10.1109/MS.2010.119.
55. Wood, J., A., Slingsby, and J., Dykes. 2011. “Visualizing the Dynamics of London’s Bicycle-Hire Scheme.” Cartographica:The International Journal for Geographic Information and Geovisualization 46 (4):239–251. doi:10.3138/carto.46.4.239.
56. Zhong, C., S. M., Arisona, X., Huang, M., Batty, and G., Schmitt. 2014. “Detecting the Dynamics of Urban Structure through Spatial Network Analysis.” International Journal of Geographical Information Science 28 (11):2178–2199. doi:10.1080/13658816.2014.914521.