Janusz L. Wywiał https://orcid.org/0000-0002-3392-1688.

© Janusz L. Wywiał. Article available under the CC BY-SA 4.0

ARTICLE

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ABSTRACT

The article focuses on properties generalised to the multidimensional case of known coefficients of spatial correlation. The main result of the work is the decomposition of the introduced generalised autocorrelation coefficients into the sum of ordinary autocorrelation coefficients, but calculated on the basis of the principal components of the originally observed multidimensional variable. The development is illustrated with an empirical example. The coefficients provide a more detailed description of the spatial relationships of a set of variables defined in a population.

KEYWORDS

Moran coefficient, Geary coefficient, spatial autocorrelation, Mahalanobis distance, principal components.

REFERENCES

Cliff, A. D., Ord, J. K., (1981). Spatial Processes: Models and Applications. Pion, London.

Du, Z., Jeong, J. S., Jeong, M. K. and Kong, S. G., (2012). Multidimensional local spatial autocorrelation measure for integrating spatial and spectral information in hyperspectral image band selection. Applied Intelligence, 36, pp. 542–552.

Geary, R. C., (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5 (3), pp. 115–145.

Getis, A., Ord, J. K., (1992). The analysis of spatial association by use of distance statistic. Geographical Analysis, 24(3), pp. 189–206.

Griffith, D. A., Chun, Y., (2022). Some useful details about Moran coefficient, Geary ratio and the joint count indices of spatial autocorrelation. Journal of Spatial Econometric, 3:12.

Harville, D. A., (1997). Matrix Algebra from a Statistician’s Perspective, Springer New York, Berlin, Heidelberg, Barcelona, Hong Kong, London, Milan, Paris, Singapore, Tokyo.

Krzyśko, M., Nijkamp, P., Ratajczak, W., Wołyński, W., Wojtyła, A. and Wenerska, B., (2023). A novel spatio-temporal principal component analysis based on Geary’s contiguity ratio. Computers, Environment and Urban Systems, 103, pp. 1–8.

Krzyśko, M., Nijkamp, P., Ratajczak, W.,Wołyński, W., Wojtyła, A. and Wenerska, B., (2024). Spatio-temporal principal component analysis. Spatial Economic Analysis, 19:1, pp. 8–29. doi: 10.1080/17421772.2023.2237532.

Leontief, W. W., (1986). Input - Output Economics, Oxford University Press, New York.

Moran, P. A. P., (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37 (1), pp. 17–23. doi:10.2307/2332142.

Morrison, D. F., (1976). Multidimensional Statistical Methods, McGraw-Hill New York.

Overmars, K. P., de Koning, G. H. J. and Veldkamp, A., (2003). Spatial autocorrelation in multi-scale land use models. Ecological Modelling, 164, pp. 257–270.

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