A dual approach to cluster discovery in point event data sets

Computers, Environment and Urban Systems

Volumn 31, Issue 1, 2007, Pages 4-18

  Brimicombe, Allan J ^a  

^a UNIVERSITY OF EAST LONDON   (United Kingdom)

Author keywords

Clustering; Geocomputation; Hot spots; Point events; Robust normalisation; Spatial data mining

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS;

CLUSTERING; GEOCOMPUTATION; SPATIAL DATA MINING;

DATA MINING;

ALGORITHM; CLUSTER ANALYSIS; DATA MINING; DATA SET; DATABASE; GEOGRAPHY EDUCATION; HOT SPOT; SPATIAL ANALYSIS;

EID: 33845911475     PISSN: 01989715     EISSN: None     Source Type: Trade Journal    
DOI: 10.1016/j.compenvurbsys.2005.07.004     Document Type: Article

References (48)

1. Aldenderfer M.S., and Blashfield R.K. Cluster analysis (1984), Sage, California
2. Armstrong M.P. Geography and computational science. Annals of the Association of American Geographers 90 (2000) 146-156
3. Atkinson P.J., and Unwin D.J. Density and local attribute estimation of an infectious disease using MapInfo. Computers and Geosciences 28 (2002) 1095-1105
4. Brimicombe A.J. Small may be beautiful - but is simple sufficient?. Geographical and Environmental Modelling 3 (1999) 9-33
5. Brimicombe A.J. Constructing and evaluating contextual indices using GIS: A case of primary school performance. Environment & Planning A 32 (2000) 1909-1933
6. Brimicombe A.J. GIS, environmental modelling and engineering (2003), Taylor & Francis, London
7. Brimicombe A.J., and Tsui H.Y. A variable resolution, geocomputational approach to the analysis of point patterns. Hydrological Processes 14 (2000) 2143-2155
8. Clark P.J., and Evans F.C. Distance to nearest neighbour as a measure of spatial relations in populations. Ecology 35 (1954) 445-453
9. Cliff A.D., and Ord J.K. Spatial processes: Models and applications (1981), Pion, London
10. Couclelis H. Computation and space. 25th Anniversary Issue. Environment & Planning B (1998) 41-47
11. Estivill-Castro V., and Lee I. Argument free clustering for large spatial point-data sets via boundary extraction from Delaunay Diagram. Computers, Environment and Urban Systems 26 (2002) 315-334
12. Fotheringham A.S. Exploratory spatial data analysis and GIS. Environment and Planning A 24 (1992) 1675-1678
13. Fotheringham A.S. Trends in quantitative methods I: Stressing the local. Progress in Human Geography 21 (1997) 88-96
14. Fotheringham A.S. Trends in quantitative methods II: Stressing the computational. Progress in Human Geography 22 (1998) 283-292
15. Fotheringham A.S., and Brunsdon C. Local forms of spatial analysis. Geographical Analysis 31 (1999) 340-358
16. Fotheringham A.S., Brunsdon C., and Charlton M. Quantitative geography (2000), Sage, London
17. Gahegan M. Is inductive machine learning just another wild goose (or might it lay the golden egg)?. International Journal of Geographical Information Science 17 (2003) 69-92
18. Gatrell A.C., Bailey T.C., Diggle P.J., and Rowlingson B.S. Spatial point pattern analysis and its application in geographical epidemiology. Transactions of the Institute of British Geographers, NS 21 (1996) 256-274
19. Gatrell A.C., and Rowlingson B.S. Spatial point process modelling in a geographical information system environment. In: Fotheringham A.S., and Rogerson P. (Eds). Spatial analysis and GIS (1994), Taylor & Francis, London 147-163
20. Halls P.J., Bulling M., White P.C.L., Garland L., and Harris S. Dirichlet neighbours: Revisiting Dirichlet tessellation for neighbourhood analysis. Computers, Environment and Urban Systems 25 (2001) 105-117
21. Han J., Kamber M., and Tung A. Spatial clustering methods in data mining. In: Miller H.J., and Han J. (Eds). Geographic data mining and knowledge discovery (2001), Taylor & Francis, London 188-217
22. Harvey D.W. Geographical processes and point patterns: Testing models of diffusion by quadrat sampling. Transactions of the Institute of British Geographers 40 (1966) 81-95
23. Kiang M.Y. Extending the Kohonen self-organizing map networks for clustering analysis. Computational Statistics & Data Analysis 38 (2001) 161-180
24. Knox E.G. The detection of space-time interactions. Applied Statistics 13 (1964) 25-29
25. Koch T., and Denike K. GIS approaches to the problem of disease clusters: A brief commentary. Social Science & Medicine 52 (2001) 1751-1754
26. Lawson A.B. Statistical methods in spatial epidemiology (2001), Wiley, Chichester
27. Longley P.A., Brooks S.M., McDonnell R., and MacMillan B. Geocomputation: A primer (1998), Wiley, Chichester
28. Macmillan W. Epilogue. In: Longley P.A., et al. (Ed). Geocomputation: A primer (1998), Wiley, Chichester 257-264
29. MacQueen, J. (1967) Some methods for classification and analysis of multivariate observations. In Proceedings of the 5th Berkeley symposium on maths and statistics problems, Vol. 1. (pp. 281-297). Berkeley, CA.
30. Mantel M. The detection of disease clustering and a generalised regression approach. Cancer Research 27 (1967) 209-220
31. Miller H.J., and Han J. Geographic data mining and knowledge discovery (2001), Taylor & Francis, London
32. Murray A.T. Spatial characteristics and comparisons of interaction and median clustering models. Geographical Analysis 32 (2000) 1-18
33. Murray A.T., and Estivill-Castro V. Cluster discovery techniques for exploratory spatial data analysis. International Journal of Geographical Information Science 12 (1998) 431-443
34. Openshaw S. Two exploratory space-time attribute pattern analysers relevant to GIS. In: Fotheringham A.S., and Rogerson P. (Eds). Spatial analysis and GIS (1994), Taylor & Francis, London 83-104
35. Openshaw S. Building automated geographical analysis and explanation machines. In: Longley P.A., et al. (Ed). Geocomputation: A Primer (1998), Wiley, Chichester 95-115
36. Openshaw S., and Abrahart R.J. GeoComputation (2000), Taylor & Francis, London
37. Openshaw S., and Blake M. GB Profiler 91 (1996), Department of Geography, University of Leeds
38. Openshaw S., Charlton M.E., Wymer C., and Craft A.W. A mark I geographical analysis machine for the automated analysis of point data sets. International Journal of Geographical Information Systems 1 (1987) 359-377
39. Phillips J.D. Spatial analysis in physical geography and challenge of deterministic uncertainty. Geographical Analysis 31 (1999) 359-372
40. Rowlingson B.S., and Diggle P.J. Splancs: Spatial point pattern analysis code in S-Plus. Computers and Geosciences 19 (1993) 627-655
41. Samet H. The quadtree and related hierarchical data structure. Computing Surveys 16 (1984) 187-260
42. Sleight P. Targeting customers: How to use geodemographic and lifestyle data in your business (1997), NTC Publications, Henley-on-Thames
43. Snow J. On the mode of communication of cholera (1855), Churchill Livingstone, London
44. Sokal R., and Sneath P. Principles of Numerical Taxonomy (1963), Freeman, San Francisco
45. Tsui H.Y., and Brimicombe A.J. Adaptive recursive tessellations (ART) for Geographical Information Systems. International Journal of Geographical Information Science 11 (1997) 247-263
46. Tsui H.Y., and Brimicombe A.J. Hierarchical tessellations model and its use in spatial analysis. Transactions in GIS 2 (1997) 267-279
47. Tukey J.W. Exploratory data analysis (1977), Addison-Wesley, Reading, MA
48. Unwin D. GIS, spatial analysis and spatial statistics. Progress in Human Geography 20 (1996) 540-551