Abstract
This paper summarizes a few spatial statistical analysis methods for to measuring spatial autocorrelation and spatial association, discusses the criteria for the identification of spatial association by the use of global Moran Coefficient, Local Moran and Local Geary. Furthermore, a user-friendly statistical module, combining spatial statistical analysis methods with GIS visual techniques, is developed in Arcview using Avenue. An example is also given to show the usefulness of this module in identifying, and quantifying the underlying spatial association patterns between economic units.
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References
Cliff A D, Ord J K (1981)Spatial processes: models and applications London: Pion.
Goodchild M F (1986)Spatial autocorrelation. Norwich: GeoBooks.
Getis A, Ord J K (1992) The analysis of spatial association by the use of distance statistics.Geographical Analysis, 24(3): 189–206
Ord J K, Getis A (1995) Local autocorrelation statistics: Distributional issues and an application.Geographical Analysis, 27(4):286–306
Anselin L (1995) Local indicators of spatial association-LISA.Geographical Analysis, 27(2): 93–115
Drummond W J (1993) GIS as a visualization tool for economic development.Comput., Environ. and Urban Systems, 17(5): 469–179
Goodchild M, Haining R, et al. (1992) Integrating GIS and spatial data analysis: problems and possibilities.Int. J. Geographical Information Systems, 6 (5): 407–423
Ding Y M, Fotheringham A S (1992) The integration of spatial analysis and GIS.Comput., Environ, and Urban Systems, 16(1): 3–19
Bao S, Henry M S, Barkley D (1995) RAS: a regional analysis system integrated with arc/Info.Comput., Environ. and Urban Systems 19(1): 37–56
Zhang Z Q, Griffith D A (1997) Developing user— friendly spatial statistical analysis modules for GIS: an example using ArcView.Comput., Environ. and Urban Systems, 21(1): 5–29
Zhang Z Q, Griffith D A (2000) Integrating GIS components and spatial statistical analysis in DBMSs.Int. J. Geographical In formation Science, 14(6): 543–566
Gao Z G (2001) Study on the regional economic difference and its pre-warning in Xinjiang: [Ph. D dissertation]. Beijing: Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences. (in Chinese)
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Funded by the National Natural Science Foundation of China (No. 40401021) and the National Social Science Foundation of China (No. 04CJLO19).
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Fei, C., Daosheng, D. Application of integration of spatial statistical analysis with GIS to regional economic analysis. Geo-spat. Inf. Sci. 7, 262–267 (2004). https://doi.org/10.1007/BF02828549
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DOI: https://doi.org/10.1007/BF02828549