Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data

1. Schuler, M., Bassand, M.: La Suisse, une métropole mondiale? IREC. Lausanne (1985)

   Google Scholar 

2. Da Cunha, A.: La métropole absente?, IREC, Lausanne (1992)

   Google Scholar 

3. Bassand, M.: Métropolisation et inégalités sociales. Presses Polytechniques Universitaires Romandes, Lausanne (1997)

   Google Scholar 

4. Batty, M.: Cities and complexity. MIT Press, Cambridge (2005)

   Google Scholar 

5. Jain, A.K., Dubes, R.C.: Algorithms for clustering data. Prentice-Hall, Englewood Cliffs (1988)

   MATH  Google Scholar 

6. Kohonen, T.: Self-organizing maps, 3rd extended edn. Springer, Berlin (2001)

   MATH  Google Scholar 

7. Ward, J.H.: Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58, 236–244 (1963)

   Article  MathSciNet  Google Scholar 

8. Anselin, L.: Local indicators of spatial autocorrelation - LISA. Geographical Analysis 27, 93–115 (1995)

   Google Scholar 

9. Turnbull, B.W., Iwano, E.J., Burnett, W.S., Howe, H.L., Clark, L.C.: Monitoring for clusters of disease: application to leukemia incidence in Upstate New York. American Journal of Epidemiology 132, 136–143 (1990)

   Google Scholar 

10. Openshaw, S., Charlton, M., Wymer, C., Craft, A.: A Mark 1 Geographical analysis machine for the automated analysis of point data sets. International Journal of Geographical Information Systems 1, 335–358 (1987)

    Article  Google Scholar 

11. Fotheringham, A.S., Zhan, F.B.: A comparison of three exploratory methods for cluster detection in spatial point patterns. Geographical Analysis 28, 200–218 (1996)

    Google Scholar 

12. Kulldorff, M.: A spatial scan statistic. Communications in Statistics 26, 1481–1496 (1997)

    Article  MATH  MathSciNet  Google Scholar 

13. Lawson, A., Biggeri, A., Böhning, D.: Disease mapping and risk assessment for public health. Wiley, New York (1999)

    MATH  Google Scholar 

14. Kulldorff, M., Tango, T., Park, P.J.: Power comparison for disease clustering tests. Computational statistics and Data Analysis 42, 665–684 (2003)

    Article  MATH  MathSciNet  Google Scholar 

15. Song, C., Kulldorff, M.: Power evaluation of disease clustering tests. International Journal of Health Geographics 2, 1–8 (2003)

    Article  Google Scholar 

16. Leloup, J.A., Lachkar, Z., Boulanger, J.-P., Thiria, S.: Detecting decadal changes in ENSO using neural networks. Climate dynamics 28, 147–162 (2007)

    Article  Google Scholar 

17. Ultsch, A.: Maps for the visualization of high-dimensional data spaces. In: Proceedings of WSOM 2003, Kitakyushu, Japan, September 11-14 (2003)

    Google Scholar 

18. Ultsch, A., Moerchen, F.: ESOM-Maps: tools for clustering, visualization, and classification with Emergent SOM. Department of Mathematics and Computer Science, University of Marburg (2005)

    Google Scholar 

19. Ultsch, A.: Self-organizing neural networks for visualization and classification. In: Proceedings Conf. Soc. for Information and Classification, Dortmund (April 1992)

    Google Scholar 

20. Ultsch, A.: Pareto Density Estimation: Probability Density Estimation for Knowledge Discovery. In: Baier, D., Wernecke, K.-D. (eds.) Innovations in Classification, Data Science, and Information Systems, pp. 91–102. Springer, Berlin (2005)

    Chapter  Google Scholar 

21. Ultsch, A., Hermann, L.: Architecture of emergent self-organizing maps to reduce projection errors. In: Proc. ESANN, Bruges, Belgium (2005)

    Google Scholar 

22. Kulldorff, M., Athas, W., Feuer, E., Miller, B., Key, C.: Evaluating clusters alarms: A space-time scan statistic and brain cancer in Los Alamos. American Journal of Public Health 88, 1377–1380 (1998)

    Article  Google Scholar 

23. Kulldorff, M., Song, C., Gregorio, D., Samciuk, H., DeChello, L.: Cancer maps patterns: are they random or not? American Journal of Preventive medicine 30, 37–49 (2006)

    Article  Google Scholar 

24. Ceccato, V., Haining, R.: Crime in border regions: The Scandinavian case of resund, 1998-2001. Annals of the Association of American Geographers 94, 807–826 (2004)

    Google Scholar 

25. Coulston, J.W., Riiters, K.H.: Geographic analysis of forest health indicators using spatial scan statistics. Environmental Management 31, 764–773 (2003)

    Article  Google Scholar 

26. Browning, H.L., Singlemann, J.: The emergence of a service society: demographic and sociological aspects of the sectorial transformation of the lbor force in the USA. Springfield, National Technical Information Service

    Google Scholar 

27. Kuhnert, C., Helbling, D., West, G.B.: Scaling laws in urban supply networks. Physica A 363, 96–103 (2007)

    Article  Google Scholar 

28. Conley, J., Gahegan, M., Macgill, J.: A genetic approach to detecting clusters in point data sets. Geographical Analysis 37, 286–314 (2005)

    Article  Google Scholar 

29. Duczmal, L., Kulldorff, M., Huang, L.: Evaluation of spatial scan statistics for irregularly shaped clusters. Journal of Computational and Graphical Statistics 15, 1–15 (2006)

    Article  MathSciNet  Google Scholar 

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