Quantative Methods and Geographic Information Systems

The Handbook of Geographic Information Science

Volumn , Issue , 2008, Pages 379-394

  Charlton, Martin E ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Coupling; Data integration; Data management; Geographic information systems (GIS); Statistical analysis

Indexed keywords

EID: 84890740217     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470690819.ch21     Document Type: Chapter

References (60)

1. Aldstadt, J. and Getis, A. 2002. Point pattern analysis in an ArcGIS environment. In Proceedings of the CSISS Specialist Meeting on New Tools for Spatial Data Analysis, Santa Barbara, CA, USA. Santa Barbara, CA: Center for Spatially Integrated Social Science.
2. Anselin, L. 1988. Spatial Econometrics: Methods and Models. Dordrecht, Kluwer.
3. Anselin, L. 1992. SpaceStat Tutorial: A Workbook for Using SpaceStat in the Analysis of Spatial Data. Santa Barbara, CA: National Center for Geographic Information and Analysis Technical Software Series S-92-1.
4. Anselin, L. and Bao, S. 1997. Exploratory spatial data analysis linking SpaceStat and ArcView. In M. M. Fischer and A. Getis (eds) Recent Developments in Spatial Analysis. Berlin: Springer-Verlag, pp. 35-59.
5. Bailey, T. C. and Gatrell, A. C. 1995. Interactive Spatial Data Analysis. Harlow: Longman.
6. Besag, J. and Newell, D. 1991. The detection of clusters in rare diseases. Journal of the Royal Statistical Society, Series A 154: 143-55.
7. Blakemore, M. J. 1984. Generalisation and error in spatial databases. Cartographica 21:131-9.
8. Boots, B. 1986. Voronoi (Thiessen) Polygons. Norwich: GeoBooks.
9. Casetti, E. 1972. Generating models by the expansion method: Applications to geographic research. Geographical Analysis 4: 81-91.
10. Casetti, E. 1992. Bayesian regression and the expansion method. Geographical Analysis 24:58-74.
11. Casetti, E. and Can, A. 1999. The econometric estimation and testing of DARP models. Journal of Geographical Systems 1: 91-106.
12. Cliff, A. D. and Ord, J. K. 1973. Spatial Autocorrelation. London: Pion.
13. Cliff, A. D. and Ord, J. K. 1981. Spatial Processes: Models and Applications. London: Pion.
14. Cook, D., Majure, J. J., Symanzik, J., and Cressie, N. 1996. Dynamic graphics in a GIS:Exploring and analyzing multivariate spatial data using linked software. Computational Statistics 11: 467-80.
15. Cook, D., Symanzik, J., Majure, J. J., and Cressie, N. 1997. Dynamic graphics in a GIS:More examples using linked software. Computers and Geosciences 23: 371-85.
16. Cooley, W. W. and Lohnes, P. R. 1962. Multivariate Procedures for the Behavioural Sciences. New York: John Wiley and Sons.
17. Cressie, N. A. C. 1993. Statistics for Spatial Data. New York: John Wiley and Sons.
18. Davis, J. C. 2002. Statistics and Data Analysis in Geology. New York: John Wiley and Sons.
19. Dempster, A., Laird, N., and Rubin, D. B. 1977. Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society B 39: 1-38.
20. Dorling, D. 1996. Area Cartograms: Their Use and Creation. Norwich: University of East Anglia.
21. Dummer, T. B. J., Dickinson, H. O., Charlton, M. E., and Parker, L. 2000. Estimating the population of young people by ethnic group in the Northern Region of England 1971-1991. Environment and Planning A 32: 1935-58.
22. Fischer, M. M. and Getis, A. (eds). 1997. Recent Developments in Spatial Analysis. Berlin:Springer-Verlag.
23. Flowerdew, R. 1988. Statistical Methods for Areal Interpolation: Predicting Count Data from a Binary Variable. Lancaster: Universities of Lancaster and Newcastle, Northern Regional Research Laboratory Research Report 16.
24. Flowerdew, R. and Green, M. 1991. Data integration: Statistical methods for transferring data between zonal systems. In I. Masser and M. Blakemore (eds) Handling Geographic Information. Harlow: Longman, pp. 38-54.
25. Fotheringham, A. S., Brunsdon, C., and Charlton, M. E. 2000. Quantitative Geography. London: Sage.
26. Fotheringham, A. S., Brunsdon, C., and Charlton, M. E. 2002. Geographical Weighted Regression:The Analysis of Spatially Varying Relationships. Chichester: John Wiley and Sons.
27. Fotheringham, A. S., Densham, P. J., and Curtis, A. 1995. The zone definition problem in location-allocation modelling. Geographical Analysis 27: 60-77.
28. Fotheringham, A. S. and Rogerson, P. A. (eds). 1994. Spatial Analysis and GIS. London:Taylor and Francis.
29. Fotheringham, A. S. and Wong, D. 1991. The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A 23: 1025-44.
30. Fotheringham, A. S. and Zhan, F. 1996. A comparison of three exploratory methods for cluster detection in spatial point patterns. Geographical Analysis 28: 200-18.
31. Gaile, G. L. and Burt, G. E. 1980. Directional Statistics. Norwich: GeoBooks.
32. Gehlke, C. D. and Biehl, K. 1934. Certain effects of grouping on the size of the correlation coefficient in census tract material. Journal of the American Statistical Association, Supplement 29: 169-70.
33. Goodchild, M. F. 1986. Spatial Autocorrelation. Norwich: GeoBooks.
34. Goodchild, M. F. 2000. Cartographic futures on a digital earth. Cartographic Perspectives 36: 3-11.
35. Goodchild, M. F. 2004. The validity and usefulness of laws in geographic information science and geography. Annals of the Association of American Geographers 94: 300-3.
36. Griffith, D. A. 1987. Spatial Autocorrelation: A Primer. Washington, DC: Association of American Geographers.
37. Haining, R. P. 1998. Spatial statistics and the analysis of health data. In A. C. Gatrell and M. Loytonen (eds) GIS and Health. London: Taylor and Francis, pp. 29-47.
38. Holt, D., Steel, D. G., Tranmer, M., and Wrigley, N. 1996. Aggregation and ecological effects in geographically based data. Geographical Analysis 28: 244-61.
39. Ihaka, R. and Gentleman, R. 1996. R: A language for data analysis and graphics. Journal of Computational and Graphical Statistics 5: 299-314.
40. Iliffe, J. C. 2000. Datums and Map Projections for Remote Sensing GIS and Surveying. Boca Raton, FL: CRC Press.
41. Kehris, E. 1989. Interfacing Arc/Info and GLIM: A Progress Report. Lancaster: University of Lancaster, Northwest Regional Research Laboratory Research Report No. 5.
42. Kellerman, A. 1981. Centrographic Measures in Geography. Norwich: GeoBooks.
43. King, G. 1997. A Solution to the Ecological Inference Problem: Reconstructing Individual Behaviour from Aggregate Data. Princeton, NJ: Princeton University Press.
44. Kulldorf, M. 1997. A spatial scan statistic. Communications in Statistics: Theory and Methods 26: 1481-96.
45. Longley, P. A. and Batty, M. 1996. Spatial Analysis: Modelling in a GIS Environment. Cambridge: GeoInformation International.
46. MacEachren, A. M., Brewer, C. A., and Pickle, L. 1998. Visualizing georeferenced data:Representing reliability of health statistics. Environment and Planning A 30: 1547-61.
47. Openshaw, S. 1984. The Modifiable Areal Unit Problem. Norwich: GeoBooks.
48. Openshaw, S., Charlton, M. E., Wymer, C., and Craft, A. W. 1987. A mark 1 geographical analysis machine for the automated analysis of point data sets. International Journal of Geographical Information Systems 1: 359-77.
49. Openshaw, S. and Taylor, P. J. 1979. A million or so correlation coefficients: Three experiments on the modifiable areal unit problem. In N. Wrigley (ed.) Statistical Applications in the Spatial Sciences. London: Pion, pp. 127-44.
50. Phillips, J. D. 2004. Doing justice to the law. Annals of the Association of American Geographers 94: 290-3.
51. Robinson, W. R. 1950. Ecological correlation and the behaviour of individuals. American Sociological Review 15: 351-7.
52. Smith, J. M. 2004. Unlawful relations and verbal inflation. Annals of the Association of American Geographers 94: 294-99.
53. Stephan, F. F. 1934. Sampling errors and interpretations of social data ordered in time and space. Journal of the American Statistical Association 29: 165-6.
54. Thomas, E. N. and Anderson, D. L. 1965. Additional comments on weighting values in correlation analysis of areal data. Annals of the Association of American Geographers 55:492-505.
55. Tierney, L. 1990. LISP-STAT: An Object-oriented Environment for Statistical Computing and Dynamic Graphics. New York: John Wiley and Sons.
56. Tobler, W. R. 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography 46: 234-40.
57. Tobler, W. R. 1991. Frame-independent spatial analysis. In M. F. Goodchild and S. Gopal (eds) Accuracy of Spatial Databases. London: Taylor and Francis, pp. 115-22.
58. Tobler, W. R. 2004. On the first law of geography: A reply. Annals of the Association of American Geographers 94: 304-10.
59. Tranmer, M. and Steel, D. G. 1998. Using census data to investigate the causes of the ecological fallacy. Environment and Planning A 30: 817-31.
60. Venables, W. N. and Ripley, B. D. 2002. Modern Applied Statistics with S (4th edn). New York: Springer.