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    ARTICLE

    Hierarchical Geographically Weighted Regression Model

    Fengchang Xue1, 2, *

    Journal of Quantum Computing, Vol.1, No.1, pp. 9-20, 2019, DOI:10.32604/jqc.2019.05954

    Abstract In spatial analysis, two problems of the scale effect and the spatial dependence have been plagued scholars, the first law of geography presented to solve the spatial dependence has played a good role in the guidelines, forming the Geographical Weighted Regression (GWR). Based on classic statistical techniques, GWR model has ascertain significance in solving spatial dependence and spatial non-uniform problems, but it has no impact on the integration of the scale effect. It does not consider the interaction between the various factors of the sampling scale observations and the numerous factors of possible scale effects, More >

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