Spatial Cluster Detection in Spatial Flow Data

Geographical Analysis

Volumn 48, Issue 4, 2016, Pages 355-372

  Tao, Ran ^a   Thill, Jean Claude ^a  

^a UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; DATA SET; DETECTION METHOD; SPATIAL ANALYSIS; SPATIAL DATA;

CHARLOTTE; NORTH CAROLINA; UNITED STATES;

EID: 84991709336     PISSN: 00167363     EISSN: 15384632     Source Type: Journal    
DOI: 10.1111/gean.12100     Document Type: Article

References (40)

1. Aldstadt, J., and A. Getis. (2006). “Using AMOEBA to Create a Spatial Weights Matrix and Identify Spatial Clusters.” Geographical Analysis 38(4), 327–43.
2. Anselin, L. (1995). “Local Indicators of Spatial Association–LISA.” Geographical Analysis 27(2), 93–115.
3. Anselin, L., I. Y. Syabri, and Kho. (2006). “GeoDa: An Introduction to Spatial Data Analysis.” Geographical Analysis 38(1), 5–22.
4. Berglund, S., and A. Karlström (1999). “Identifying Local Spatial Association in Flow Data.” Journal of Geographical Systems 1(3), 219–36.
5. Besag, J., and J. Newell. (1991). “The Detection of Clusters in Rare Diseases.” Journal of the Royal Statistical Society Series A 154(1), 143–55.
6. Boots, B., and Okabe, A. (2007). “Local Statistical Spatial Analysis: Inventory and Prospect.” International Journal of Geographical Information Science 21(4), 355–75.
7. Boyandin, I., E. Bertini, and D. Lalanne. (2010). “Using Flow Maps to Explore Migrations over Time.” In Geospatial Visual Analytics Workshop in Conjunction with The 13th AGILE International Conference on Geographic Information Science. Guimarães, Portugal, 2(3).
8. Chen, J., R. Wang, L. Liu, and J. Song. (2011). “Clustering of Trajectories Based on Hausdorff Distance.” 2011 International Conference on Electronics, Communications and Control (ICECC), Ningbo, China, 1940–44.
9. Cressie, N. (1993). Statistics for Spatial Data. New York: Wiley.
10. Cui, W., H. Zhou, H. Qu, P. C. Wong, and X. Li. (2008). “Geometry-Based Edge Clustering for Graph Visualization.” IEEE Transactions on Visualization and Computer Graphics 14(6), 1277–84.
11. Diggle, P. (1983). Statistical Analysis of Spatial Point Patterns. London: Academic Press.
12. Fortin, M., and Dale, M. (2009). “Spatial Autocorrelation.” In The SAGE Handbook of Spatial Analysis, 89–103, edited by S. Fotheringham and P. Rogerson. London: Sage
13. Fotheringham, S. (1997). “Trends in Quantitative Methods I: Stressing the Local.” Progress in Human Geography 21(1), 88–96.
14. Fotheringham, S., and B. Zhan. (1996). “A Comparison of Three Exploratory Methods for Cluster Detection in Spatial Point Patterns.” Geographical Analysis 28(3), 200–18.
15. Geary, R. (1954). “The Contiguity Ratio and Statistical Mapping.” The Incorporated Statistician (The Incorporated Statistician) 5(3), 115–45.
16. Genolini, C., and B. Falissard. (2010). “KmL: K-Means for Longitudinal Data.” Computational Statistics 25(2), 317–28.
17. Getis, A., and J. Franklin. (1987). “Second-Order Neighborhood Analysis of Mapped Point Patterns.” Ecology 68, 473–77.
18. Getis, A., and J. Ord. (1992). “The Analysis of Spatial Association by Use of Distance Statistics.” Geographical Analysis 24(3), 189–206.
19. Guo, D. (2009). “Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data.” IEEE Transactions on Visualization and Computer Graphics 15(6), 1041–48.
20. Kulldorff, M. (1997). “A Spatial Scan Statistic.” Communications in Statistics - Theory and Methods 26(6), 1481–96.
21. Lee, J. G., J. Han, and K. Y. Whang. (2007). “Trajectory Clustering: A Partition-and-Group Framework.” In Proceedings of the 2007 ACM SIGMOD international conference on Management of data. Beijing, China 593–604.
22. Liu, Y., D. Tong, and X. Liu. (2015). “Measuring Spatial Autocorrelation of Vectors.” Geographical Analysis. 47(3), 300–319.
23. Lu, Y. (2006). “Spatial Choice of Auto Thefts in an Urban Environment.” Security Journal 19 (3), 143–166.
24. Lu, Y., and J.-C. Thill. (2003). “Assessing the Cluster Correspondence between Paired Point Locations.” Geographical Analysis 35(4), 290–309.
25. Lu, Y., and J.-C. Thill. (2008). “Cross-scale Analysis of Cluster Correspondence Using Different Operational Neighborhoods.” Journal of Geographical Systems 10(3), 241–61.
26. McGoey, C. (2000). “Auto Theft Facts.” www.crimedoctor.com/autotheft1.htm
27. Moran, P. (1950). “Notes on Continuous Stochastic Phenomena.” Biometrika 37(1), 17–23.
28. Murray, A., Y. Liu, S. J. Rey, and L. Anselin (2011). “Exploring Movement Object Patterns.” The Annals of Regional Science 49(2), 471–84.
29. Nanni, M., and Pedreschi, D. (2006). “Time-Focused Clustering of Trajectories of Moving Objects.” Journal of Intelligent Information Systems 27(3), 267–289.
30. Okabe, A., B. Boots, and T. Satoh. (2010). “A Class of Local and Global K-functions and Their Exact Statistical Methods.” Perspectives on Spatial Data Analysis. 101–12. edited by L. Anselin and S. J. Rey. Berlin, Heidelberg: Springer.
31. Openshaw, S., M. Charlton, C. Wymer, and A. Craft. (1987). “A Mark 1 Geographical Analysis Machine for the Automated Analysis of Point Data Sets.” International Journal of Geographical Information Systems 1(4), 335–58.
32. Ord, J., and A. Getis. (1995). “Local Spatial Autocorrelation Statistics: Distributional Issues and an Application.” Geographical Analysis 27(4), 286–306.
33. Ossama, O., H. Mokhtar, and M. El-Sharkawi (2011). “Clustering Moving Objects Using Segments Slopes.” International Journal of Database Management Systems 3(1), 35–48.
34. Ripley, B. D. (1976). “The Second-Order Analysis of Stationary Point Processes.” Journal of Applied Probability 13, 255–66.
35. Symanzik, J. 2014. “Exploratory Spatial Data Analysis.” In Handbook of Regional Science, 1295–310, edited by F. Manfred and N. Peter. Heidelberg, Germany: Springer.
36. Tobler, W. R. (1987). “Experiments in Migration Mapping by Computer.” The American Cartographer 14, 155–63.
37. Waller, L. (2009). “Detection of Clustering in Spatial Data.” In The SAGE Handbook of Spatial Analysis, 159–81, edited by S. Fotheringham and P. Rogerson. London: Sage.
38. Yamada, I., and J.-C. Thill. (2007) “Local Indicators of Network-Constrained Clusters in Spatial Point Patterns.” Geographical Analysis 39(3), 268–92.
39. Yamada, I., and J.-C. Thill. (2010). “Local Indicators of Network-Constrained Clusters in Spatial Patterns Represented by a Link Attribute.” Annals of the Association of American Geographers 100(2), 269–85.
40. Zhu, X., and D. Guo. (2014). “Mapping Large Spatial Flow Data with Hierarchical Clustering.” Transactions in GIS 18 (3), 421–35.