英文文献：Extreme coefficients in Geographically Weighted Regression and their effects on mapping-地理加权回归中的极端系数及其对制图的影响
英文文献作者：Cho, Seong-Hoon,Lambert, Dayton M.,Kim, Seung Gyu,Jung, Suhyun
英文文献摘要：
This study deals with the issue of extreme coefficients in geographically weighted regression (GWR) and their effects on mapping coefficients using three datasets with different spatial resolutions. We found that although GWR yields extreme coefficients regardless of the resolution of the dataset or types of kernel function, 1) the GWR tends to generate extreme coefficients for less spatially dense datasets, 2) coefficient maps based on polygon data representing aggregated areal units are more sensitive to extreme coefficients, and 3) coefficient maps using bandwidths generated by a fixed calibration procedure are more vulnerable to the extreme coefficients than adaptive calibration.

摘要本研究利用三个不同空间分辨率的数据集，探讨地理加权回归中的极端系数及其对地图系数的影响。不管我们发现尽管吉尼斯世界纪录收益率极端系数的分辨率数据集或类型的内核函数,1)吉尼斯世界纪录会产生极端系数少空间密集数据集,2)系数基于多边形数据地图代表聚合区域单位更极端敏感系数,和3)系数地图使用带宽由一个固定的校准过程更容易受到极端比自适应校准系数。