Book(print)#12021
Geographical data science & spatial data analysis: an introduction in R
In: Spatial analytics and GIS
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Article(electronic)#2May 2006
Using circular statistics to analyse time patterns in crime incidence
In: Computers, Environment and Urban Systems, Volume 30, Issue 3, p. 300-319
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Article(electronic)#3March 2006
Local trend statistics for directional data—A moving window approach
In: Computers, Environment and Urban Systems, Volume 30, Issue 2, p. 130-142
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Article(print)#42006
Using circular statistics to analyse time patterns in crime incidence
In: Computers, environment and urban systems: CEUS ; an international journal, Volume 30, Issue 3, p. 300-319
ISSN: 0198-9715
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Article(print)#52006
Local trend statistics for directional data—A moving window approach
In: Computers, environment and urban systems: CEUS ; an international journal, Volume 30, Issue 2, p. 130-142
ISSN: 0198-9715
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Article(electronic)#6July 2018
Geographically weighted regression models for ordinal categorical response variables: An application to geo-referenced life satisfaction data
In: Computers, Environment and Urban Systems, Volume 70, p. 35-42
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Open Access#72018
Locally-varying explanations behind the United Kingdom's vote to leave the European Union
Explanations behind area-based (Local Authority-level) voting preference in the 2016 referendum on membership of the European Union are explored using aggregate-level data. Developing local models, special attention is paid to whether variables explain the vote equally well across the country. Variables describing the post-industrial and economic "successfulness" of Local Authorities most strongly discriminate variation in the vote. To a lesser extent this is the case for variables linked to "metropolitan" and "big city" contexts, which assist the Remain vote, those that distinguish more traditional and "nativist" values, assisting Leave, and those loosely describing material outcomes, again reinforcing Leave. Whilst variables describing economic competitiveness co-vary with voting preference equally well across the country, the importance of secondary variables - those distinguishing metropolitan settings, values and outcomes - does vary by region. For certain variables and in certain areas, the direction of effect on voting preference reverses. For example, whilst levels of European Union migration mostly assist the Remain vote, in parts of the country the opposite effect is observed.
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Article(electronic)#8January 2007
Visualising space and time in crime patterns: A comparison of methods
In: Computers, Environment and Urban Systems, Volume 31, Issue 1, p. 52-75
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Article(print)#92007
Visualising space and time in crime patterns: A comparison of methods
In: Computers, environment and urban systems: CEUS ; an international journal, Volume 31, Issue 1, p. 52-75
ISSN: 0198-9715
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Article(electronic)#10July 2008
Improving user assessment of error implications in digital elevation models
In: Computers, Environment and Urban Systems, Volume 32, Issue 4, p. 268-277
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Article(print)#112008
Improving user assessment of error implications in digital elevation models
In: Computers, environment and urban systems: CEUS ; an international journal, Volume 32, Issue 4, p. 268-278
ISSN: 0198-9715
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Article(electronic)#12November 2007
The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study
In: Computers, Environment and Urban Systems, Volume 31, Issue 6, p. 623-647
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Article(print)#132007
The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study
In: Computers, environment and urban systems: CEUS ; an international journal, Volume 31, Issue 6, p. 623-647
ISSN: 0198-9715
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Article(electronic)#14November 2006
GPS accuracy estimation using map matching techniques: Applied to vehicle positioning and odometer calibration
In: Computers, Environment and Urban Systems, Volume 30, Issue 6, p. 757-772
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Article(print)#152006
GPS accuracy estimation using map matching techniques: Applied to vehicle positioning and odometer calibration
In: Computers, environment and urban systems: CEUS ; an international journal, Volume 30, Issue 6, p. 757-772
ISSN: 0198-9715
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