Geographically Weighted Regression

C  Brunsdon; S  Fotheringham; M  Charlton

doi:10.1111/1467-9884.00145

Geographically Weighted Regression

C Brunsdon, S Fotheringham, M Charlton

Research output: Contribution to journal › Article › peer-review

Abstract

In regression models where the cases are geographical locations, sometimes regression coefficients do not remain fixed over space. A technique for exploring this phenomenon, geographically weighted regression is introduced. A related Monte Carte significance test for spatial non-stationarity is also considered. Finally, an example of the method is given, using limiting long term illness data from the 1991 UK census.

Original language	English
Pages (from-to)	431-443
Number of pages	13
Journal	The Statistician
Volume	47
Issue number	3
DOIs	https://doi.org/10.1111/1467-9884.00145
Publication status	Published - Sept 1998

Access to Document

10.1111/1467-9884.00145

Cite this

@article{c2b5febe3a614e5bbace1517488e1298,

title = "Geographically Weighted Regression",

abstract = "In regression models where the cases are geographical locations, sometimes regression coefficients do not remain fixed over space. A technique for exploring this phenomenon, geographically weighted regression is introduced. A related Monte Carte significance test for spatial non-stationarity is also considered. Finally, an example of the method is given, using limiting long term illness data from the 1991 UK census.",

author = "C Brunsdon and S Fotheringham and M Charlton",

year = "1998",

month = sep,

doi = "10.1111/1467-9884.00145",

language = "English",

volume = "47",

pages = "431--443",

journal = "The Statistician",

issn = "0039-0526",

publisher = "Wiley-Blackwell",

number = "3",

}

TY - JOUR

T1 - Geographically Weighted Regression

AU - Brunsdon, C

AU - Fotheringham, S

AU - Charlton, M

PY - 1998/9

Y1 - 1998/9

N2 - In regression models where the cases are geographical locations, sometimes regression coefficients do not remain fixed over space. A technique for exploring this phenomenon, geographically weighted regression is introduced. A related Monte Carte significance test for spatial non-stationarity is also considered. Finally, an example of the method is given, using limiting long term illness data from the 1991 UK census.

AB - In regression models where the cases are geographical locations, sometimes regression coefficients do not remain fixed over space. A technique for exploring this phenomenon, geographically weighted regression is introduced. A related Monte Carte significance test for spatial non-stationarity is also considered. Finally, an example of the method is given, using limiting long term illness data from the 1991 UK census.

UR - https://www.scopus.com/pages/publications/0001182913

U2 - 10.1111/1467-9884.00145

DO - 10.1111/1467-9884.00145

M3 - Article

SN - 0039-0526

VL - 47

SP - 431

EP - 443

JO - The Statistician

JF - The Statistician

IS - 3

ER -

Geographically Weighted Regression

Abstract

Access to Document

Other files and links

Fingerprint

Cite this