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

被引：172

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.

引用

页码：2751 / 2769

页数：19

共 34 条

[1]

ALPEROVICH G, 2002, PAPERS REGIONAL SCI, V18, P83

[2] LOCAL INDICATORS OF SPATIAL ASSOCIATION - LISA [J].

ANSELIN, L .

GEOGRAPHICAL ANALYSIS, 1995, 27 (02) :93-115

[3]

Blumenthal L.M., 1938, DISTANCE GEOMETRIES

[4] All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices [J].

Borcard, D ;

Legendre, P .

ECOLOGICAL MODELLING, 2002, 153 (1-2) :51-68

[5]

DEJONG P, 1984, GEOGR ANAL, V16, P17

[6]

DESPIEGELHALTER, 2002, J ROY STAT SOC, V64, P583

[7]

Fotheringham A. S., 2002, Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

[8] SCREENING FOR SPATIAL DEPENDENCE IN REGRESSION-ANALYSIS [J].

GETIS, A .

PAPERS OF THE REGIONAL SCIENCE ASSOCIATION, 1990, 69 :69-81

[9]

Getis A., 1995, NEW DIRECTIONS SPATI, P172, DOI 10.1007/978-3-642-79877-1_8

[10]

Griffith D., 1997, 1996 P SECT STAT ENV, P91

← 1 2 3 4 →