Acta Geographica Sinica ›› 2011, Vol. 66 ›› Issue (12): 1597-1606.doi: 10.11821/xb201112002

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Effect of MAUP in Spatial Autocorrelation

CHEN Jiangping, ZHANG Yao, YU Yuanjian   

  1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • Received:2011-04-07 Revised:2011-08-17 Online:2011-12-20 Published:2012-01-19
  • Supported by:

    National Natural Science Foundation of China--Youth Science Fund Project, No.40801152;Scholarship Research Fund Project, Ministry of Education, No.213153249

Abstract: This research investigated the role of modifiable area unit problem (MAUP) in the spatial autocorrelation on data of per capita GDP of China and grid simulated data. The global Moran's I coefficient was used to explore the MAUP effect of spatial autocorrelation statistics. The results showed that the degree of spatial autocorrelation of variables depends on the size of spatial particles and zone designing methods. However, there is no determined function relationship between the change of spatial units and the autocorrelation. So, how to choose the appropriate size of geographical unit particles and zone designing are very important in the research of spatial autocorrelation. Finally, the study presented an approach based on geostatistical interpolation to decrease MAUP effect in spatial autocorrelation analysis.

Key words: modifiable areal unit problem, spatial autocorrelation, spatial analysis, particle, zonation