地理加权回归模型
可解释性
回归
回归分析
统计
公制(单位)
计算机科学
地理
数据挖掘
地图学
数学
人工智能
工程类
运营管理
作者
Binbin Lu,Chris Brunsdon,Martin Charlton,Paul Harris
标识
DOI:10.1080/13658816.2019.1585541
摘要
In this article, we respond to 'A comment on geographically weighted regression with parameter-specific distance metrics' by Oshan et al. (2019), published in this journal, where several concerns on the parameter-specific distance metric geographically weighted regression (PSDM GWR) technique are raised. In doing so, we review the developmental timeline of the multiscale geographically weighed regression modelling framework with related and equivalent models, including flexible bandwidth GWR, conditional GWR and PSDM GWR. In our response, we have tried to answer all the concerns raised in terms of applicability, veracity, interpretability and computational efficiency of the PSDM GWR model.
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