计算机科学 ›› 2017, Vol. 44 ›› Issue (3): 274-277.doi: 10.11896/j.issn.1002-137X.2017.03.056
赵阳阳,刘纪平,杨毅,张福浩,仇阿根
ZHAO Yang-yang, LIU Ji-ping, YANG Yi, ZHANG Fu-hao and QIU A-gen
摘要： 针对全局平稳特征和时空非平稳特征同时存在的现象,提出了混合时空地理加权回归方法(Mixed Geographically and Temporally Weighted Regression,MGTWR),给出了MGTWR的数学定义和回归参数的两步估计。同时,介绍了调整型带宽选择机制下的权重计算方法和基于Akaike信息准则(Akaike Information Criterion,AIC)的参数优化方法。采用复杂程度不同的模拟数据来测试方法的性能。结果表明,MGTWR和GTWR的R2大于0.8,能模拟全局平稳特征和时空非平稳特征的现象,但MGTWR显著优于GTWR。MGWR因无法探测时间平稳特征,模拟效果最差。此外,数据复杂程度影响MGTWR,GTWR和MGWR的性能,数据越简单模拟效果越好。
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