Abstract
Urban economic development in the past years has been in steady growth trend in Shandong, China. But between cities show differences each other. To find out the influence of spatial autocorrelation to urban economic growth, local Moran’s I statistics are applied with Capita GDP datasets of 17 cities from 2000 to 2015. Four kinds of visual presentation for the spatial clustering show spatial autocorrelation of urban economic growth with the time of going. Cities in east coastal region present H-H clustering. Cities in central west region show L-L clustering. There are unbalanced for urban economic growth in Shandong province due to geographical distribution.
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Acknowledgements
This work was supported by the National Social Science Fund Project, China (grant number 17BJL055), the Humanities and Social Science Research Project, Ministry of Education, China (grant number 13YJA790038) and 2016 sponsorship of teacher visiting abroad in University of Jinan.
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Zhao, J., Wang, Y., Shi, W. (2018). Using Local Moran’s I Statistics to Estimate Spatial Autocorrelation of Urban Economic Growth in Shandong Province, China. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_4
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DOI: https://doi.org/10.1007/978-981-13-0893-2_4
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