Grid-enabling Geographically Weighted Regression: a case study of participation in Higher Education in England

RJ Harris; A Singleton; D Grose; C Brunsdon; P Longley

doi:10.1111/j.1467-9671.2009.01181.x

Grid-enabling Geographically Weighted Regression: a case study of participation in Higher Education in England

RJ Harris, A Singleton, D Grose, C Brunsdon, P Longley

Research output: Contribution to journal › Article (Academic Journal) › peer-review

63 Citations (Scopus)

Translated title of the contribution	Grid-enabling Geographically Weighted Regression: a case study of participation in Higher Education in England
Original language	English
Pages (from-to)	43 - 61
Journal	Transactions in GIS
Volume	14
Issue number	1
DOIs	https://doi.org/10.1111/j.1467-9671.2009.01181.x
Publication status	Published - 2010

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10.1111/j.1467-9671.2009.01181.x

http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9671.2009.01181.x/abstract

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GRIS ENABLED SPATIAL REGRESSION MODELS
Harris , R. J. (Principal Investigator)
1/05/06 → 1/11/07
Project: Research

Cite this

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title = "Grid-enabling Geographically Weighted Regression: a case study of participation in Higher Education in England",

author = "RJ Harris and A Singleton and D Grose and C Brunsdon and P Longley",

year = "2010",

doi = "10.1111/j.1467-9671.2009.01181.x",

language = "English",

volume = "14",

pages = "43 -- 61",

journal = "Transactions in GIS",

issn = "1361-1682",

publisher = "Wiley-Blackwell",

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T1 - Grid-enabling Geographically Weighted Regression: a case study of participation in Higher Education in England

AU - Harris, RJ

AU - Singleton, A

AU - Grose, D

AU - Brunsdon, C

AU - Longley, P

PY - 2010

Y1 - 2010

U2 - 10.1111/j.1467-9671.2009.01181.x

DO - 10.1111/j.1467-9671.2009.01181.x

M3 - Article (Academic Journal)

SN - 1361-1682

VL - 14

SP - 43

EP - 61

JO - Transactions in GIS

JF - Transactions in GIS

IS - 1

ER -

Grid-enabling Geographically Weighted Regression: a case study of participation in Higher Education in England

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GRIS ENABLED SPATIAL REGRESSION MODELS

Cite this