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).
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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
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DOI: https://doi.org/10.1007/978-1-4757-2899-6_7
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