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Using geographically weighted regression to explore the spatially heterogeneous spread of bovine tuberculosis in England and Wales

Abstract:

An understanding of the factors that affect the spread of endemic bovine tuberculosis (bTB) is critical for the development of measures to stop and reverse this spread. Analyses of spatial data need to account for the inherent spatial heterogeneity within the data, or else spatial autocorrelation can lead to an overestimate of the significance of variables. This study used three methods of analysis—least-squares linear regression with a spatial autocorrelation term, geographically weighted re...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00477-016-1320-9

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
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Name:
UK Government Department for Environment, Food and Rural Affairs
Grant:
SE3045
Publisher:
Springer Verlag
Journal:
Stochastic Environmental Research and Risk Assessment More from this journal
Pages:
1-14
Publication date:
2016-10-14
Acceptance date:
2016-09-19
DOI:
EISSN:
1436-3259
ISSN:
1436-3240
Keywords:
Pubs id:
pubs:646331
UUID:
uuid:cf40d12e-2dbe-477a-94cb-860719fe8b7c
Local pid:
pubs:646331
Source identifiers:
646331
Deposit date:
2016-11-01

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