SCREENING FOR SPATIAL DEPENDENCE IN REGRESSION-ANALYSIS

被引：35

作者：

GETIS, A

机构：

[1] Department of Geography, University of Illinois at Urbana-Champaign, Urbana, 61801, Illinois, 220 Davenport Hall

来源：

PAPERS OF THE REGIONAL SCIENCE ASSOCIATION | 1990年 / 69卷

关键词：

D O I：

10.1007/BF01933897

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A technique of analysis is presented that is designed to circumvent the problem of finding wasy to estimate parameters of spatially stochastic independent variables. It is based on 1) a type of second-order analysis that describes the spatial association among weighted observations, and 2) a screening procedure that removes most of the spatial dependence in the dependent variable. The approach is illustrated by a study of the incidence of certain crimes in 49 districts of Columbus, Ohio. It is concluded that spatial justaposition of observations plays a large role in regression analyses that are based on spatial series. © 1989 The Regional Science Association.

引用

页码：69 / 81

页数：13

共 11 条

[1] MODEL VALIDATION IN SPATIAL ECONOMETRICS - A REVIEW AND EVALUATION OF ALTERNATIVE APPROACHES [J].

ANSELIN, L .

INTERNATIONAL REGIONAL SCIENCE REVIEW, 1988, 11 (03) :279-316

[2]

Anselin L., 1988, PAP REG SCI, V65, P11, DOI [10.1111/j.1435-5597.1988.tb01155.x, DOI 10.1111/j.1435-5597.1988.tb01155.x, DOI 10.1111/J.1435-5597.1988.TB01155.X]

[3]

ANSELIN L, 1989, SPATIAL REGRESSION A

[4]

Anselin L., 1988, SPATIAL ECONOMETRIC

[5]

Cliff A., 1973, SPATIAL AUTOCORRELAT

[6] 2ND-ORDER NEIGHBORHOOD ANALYSIS OF MAPPED POINT PATTERNS [J].

GETIS, A ;

FRANKLIN, J .

ECOLOGY, 1987, 68 (03) :473-477

[7] INTERACTION MODELING USING 2ND-ORDER ANALYSIS [J].

GETIS, A .

ENVIRONMENT AND PLANNING A, 1984, 16 (02) :173-183

[8]

GRIFFITH D, 1988, ADV SPATIAL STATISTI

[9]

HAINING R, 1980, GEOGRAPHY URBAN ENV, V3, P1

[10]

Ripley B., 1981, SPAT STAT-NETH, DOI 10.1002/0471725218

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