Abstract
Whether observed spatial data conform to our expectations has long been a central question of spatial analysis. Departures of observations from complete spatial randomness may be tested in a number of ways, for both point data and area data. A useful review is provided by Bailey and Gattrell (1995).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anselin, L. (1995). “Local indicators of spatial association — LISA” Geographical Analysis, 27, 93–115.
Bailey, T., and A. Gattrell. (1995). Interactive spatial data analysis. New York: Longman Scientfic and Technical
Besag, J., and J. Newell. (1991). “The detection of clusters in rare diseases.” Journal of the Royal Statistical Society, Series A, 154, 143–55.
Diggle, P.J. (1990). “A point process modelling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point” Journal of the Royal Statistical Society, Series A, 153, 349–62.
Getis, A, and K. Ord. (1992). “The analysis of spatial association by use of distance statistics.” Geographical Analysis, 24, 189–206.
Fingleton, B. (1983). “Independence, stationarity, categorical spatial data and the chi-squared test” Environment and Planning A, 15,483–500.
Fingleton, B. (1986). “Analyzing cross-classified data with inherent spatial dependence.” Environment and Planning A, 18,48–61.
Fotheringham, A.S., and F.B. Zhan. (1996). “A comparison of three exploratory methods for cluster detection in spatial point patterns.” Geographical Analysis, 28, 200–18.
Griffith, D.A (1992). “What is spatial autocorrelation? Reflections on the past 25 years of spatial statistics.” L’Espace géographique, 265-80.
Knudsen, D., and A.S. Fotheringham. (1986). “Matrix comparison, goodness-of-fit, and spatial interaction modelling.” International regional Science Review, 10, 127–47.
Kulldorf, M., and N. Nagarwalla. (1994). “Spatial disease clusters: detection and inference.” Statistics in Medicine, 14, 799–810.
Lawson, A.B. (1993). “On the analysis of mortality events associated with a prespecified fixed point” Journal of the Royal Statistical Society, Series A, 156,363–77.
Oden, N. (1995). “Adjusting Moran’s I for population density.” Statistics in Medicine, 14, 17–26.
Openshaw, S. (1987). “A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets.” International Journal of Geographical Information Systems,1, 359–77.
Tango, T. (1995). “A class of tests for detecting ‘eneral’ and ‘focused’ clustering of rare diseases.” Statistics in Medicine, 14, 2323–2334.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Rogerson, P.A. (1998). A Spatial Version of the Chi-Square Goodness-of-fit Test and its Application to Tests for Spatial Clustering. In: Griffith, D.A., Amrhein, C.G., Huriot, JM. (eds) Econometric Advances in Spatial Modelling and Methodology. Advanced Studies in Theoretical and Applied Econometrics, vol 35. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2899-6_7
Download citation
DOI: https://doi.org/10.1007/978-1-4757-2899-6_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4788-8
Online ISBN: 978-1-4757-2899-6
eBook Packages: Springer Book Archive