Chris Brunsdon
Title
Cited by
Cited by
Year
Geographically weighted regression: the analysis of spatially varying relationships
AS Fotheringham, C Brunsdon, M Charlton
John Wiley & Sons, 2003
49312003
Geographically weighted regression: a method for exploring spatial nonstationarity
C Brunsdon, AS Fotheringham, ME Charlton
Geographical analysis 28 (4), 281-298, 1996
2771*1996
Quantitative geography: perspectives on spatial data analysis
AS Fotheringham, C Brunsdon, M Charlton
Sage, 2000
15122000
Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis
AS Fotheringham, ME Charlton, C Brunsdon
Environment and planning A 30 (11), 1905-1927, 1998
8591998
Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups
A Comber, C Brunsdon, E Green
Landscape and Urban Planning 86 (1), 103-114, 2008
4672008
Some notes on parametric significance tests for geographically weighted regression
C Brunsdon, AS Fotheringham, M Charlton
Journal of regional science 39 (3), 497-524, 1999
4521999
Geographically weighted Poisson regression for disease association mapping
T Nakaya, AS Fotheringham, C Brunsdon, M Charlton
Statistics in medicine 24 (17), 2695-2717, 2005
4122005
The geography of parameter space: an investigation of spatial non-stationarity
A Stewart Fotheringham, M Charlton, C Brunsdon
International Journal of Geographical Information Systems 10 (5), 605-627, 1996
3741996
Local forms of spatial analysis
AS Fotheringham, C Brunsdon
Geographical analysis 31 (4), 340-358, 1999
3331999
Can fluorescence spectrometry be used as a surrogate for the Biochemical Oxygen Demand (BOD) test in water quality assessment? An example from South West England
N Hudson, A Baker, D Ward, DM Reynolds, C Brunsdon, ...
Science of the total environment 391 (1), 149-158, 2008
3262008
The SAGE handbook of spatial analysis
AS Fotheringham, PA Rogerson
Sage, 2008
306*2008
GWmodel: an R package for exploring spatial heterogeneity using geographically weighted models
I Gollini, B Lu, M Charlton, C Brunsdon, P Harris
arXiv preprint arXiv:1306.0413, 2013
2452013
Spatial variations in the average rainfall–altitude relationship in Great Britain: an approach using geographically weighted regression
C Brunsdon, J McClatchey, DJ Unwin
International Journal of Climatology: A Journal of the Royal Meteorological …, 2001
2372001
Principal component analysis on spatial data: an overview
U Demšar, P Harris, C Brunsdon, AS Fotheringham, S McLoone
Annals of the Association of American Geographers 103 (1), 106-128, 2013
2282013
Geographically weighted regression
M Charlton, S Fotheringham, C Brunsdon
White paper. National Centre for Geocomputation. National University of …, 2009
2172009
Spatial variations in school performance: a local analysis using geographically weighted regression
AS Fotheringham, ME Charlton, C Brunsdon
Geographical and Environmental Modelling 5 (1), 43-66, 2001
2122001
A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions
AJ Comber, C Brunsdon, R Radburn
International journal of health geographics 10 (1), 44, 2011
2022011
Spatial nonstationarity and autoregressive models
C Brunsdon, AS Fotheringham, M Charlton
Environment and Planning A 30 (6), 957-973, 1998
2001998
Estimating probability surfaces for geographical point data: an adaptive kernel algorithm
C Brunsdon
Computers & Geosciences 21 (7), 877-894, 1995
1801995
Geographically weighted regression white paper
M Charlton, AS Fotheringham, C Brunsdon
Kildare: National University of Ireland Maynooth, 1-14, 2009
1772009
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