Spatial-filtering-based contributions to a critique of geographically weighted regression (GWR)

被引：169
作者：
Griffith, Daniel A. [1 ]
机构：
[1] Univ Texas Dallas, Sch Econ Polit & Policy Sci, Richardson, TX 75080 USA
来源：
ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE | 2008年 / 40卷 / 11期
关键词：
D O I：
10.1068/a38218
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Interaction terms are constructed with georeferenced attribute variables and spatial filter eigenvectors, and then used to compute geographically varying regression coefficients. These coefficients, which are analogous to geographically weighted regression (GWR) coefficients, display preferable properties, and this specification is used to critique selected features of GWR. Comparisons are illustrated with the Georgia data appearing in the standard GWR tutorial.
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页码：2751 / 2769
页数：19
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