Testing regression residuals for spatial autocorrelation using SAS: a technical note

John P Jones, S. A. Foster

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Spatial autocorrelation of regression residuals is a violation of an assumption of the general linear model. Yet despite the widespread use of spatial data in applied work, many researchers fail to examine residuals for spatial autocorrelation, or they rely on subjective interpretation of residual maps. In part, this problem stems from a lack of easy-to-use programs that can be incorporated into existing research procedures. In this note we present a short program for testing spatial association among regression residuals. Based on Moran's I statistic, the program employs SAS's PROC MATRIX language, and can easily augment regression analyses run using the SAS package. -Authors

Original languageEnglish (US)
Pages (from-to)78-83
Number of pages6
JournalGeography Research Forum
Volume11
StatePublished - 1991
Externally publishedYes

Fingerprint

autocorrelation
regression
linear model
spatial data
statistics
interpretation
lack
language
programme

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

Testing regression residuals for spatial autocorrelation using SAS : a technical note. / Jones, John P; Foster, S. A.

In: Geography Research Forum, Vol. 11, 1991, p. 78-83.

Research output: Contribution to journalArticle

@article{373df077a05b414d90de799a8d25c8b0,
title = "Testing regression residuals for spatial autocorrelation using SAS: a technical note",
abstract = "Spatial autocorrelation of regression residuals is a violation of an assumption of the general linear model. Yet despite the widespread use of spatial data in applied work, many researchers fail to examine residuals for spatial autocorrelation, or they rely on subjective interpretation of residual maps. In part, this problem stems from a lack of easy-to-use programs that can be incorporated into existing research procedures. In this note we present a short program for testing spatial association among regression residuals. Based on Moran's I statistic, the program employs SAS's PROC MATRIX language, and can easily augment regression analyses run using the SAS package. -Authors",
author = "Jones, {John P} and Foster, {S. A.}",
year = "1991",
language = "English (US)",
volume = "11",
pages = "78--83",
journal = "Geography Research Forum",
issn = "0333-5275",
publisher = "Transaction Periodicals Consortium",

}

TY - JOUR

T1 - Testing regression residuals for spatial autocorrelation using SAS

T2 - a technical note

AU - Jones, John P

AU - Foster, S. A.

PY - 1991

Y1 - 1991

N2 - Spatial autocorrelation of regression residuals is a violation of an assumption of the general linear model. Yet despite the widespread use of spatial data in applied work, many researchers fail to examine residuals for spatial autocorrelation, or they rely on subjective interpretation of residual maps. In part, this problem stems from a lack of easy-to-use programs that can be incorporated into existing research procedures. In this note we present a short program for testing spatial association among regression residuals. Based on Moran's I statistic, the program employs SAS's PROC MATRIX language, and can easily augment regression analyses run using the SAS package. -Authors

AB - Spatial autocorrelation of regression residuals is a violation of an assumption of the general linear model. Yet despite the widespread use of spatial data in applied work, many researchers fail to examine residuals for spatial autocorrelation, or they rely on subjective interpretation of residual maps. In part, this problem stems from a lack of easy-to-use programs that can be incorporated into existing research procedures. In this note we present a short program for testing spatial association among regression residuals. Based on Moran's I statistic, the program employs SAS's PROC MATRIX language, and can easily augment regression analyses run using the SAS package. -Authors

UR - http://www.scopus.com/inward/record.url?scp=0025936617&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025936617&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0025936617

VL - 11

SP - 78

EP - 83

JO - Geography Research Forum

JF - Geography Research Forum

SN - 0333-5275

ER -