Chris Brunsdon
Título
Citado por
Citado por
Año
Geographically weighted regression: the analysis of spatially varying relationships
AS Fotheringham, C Brunsdon, M Charlton
John Wiley & Sons, 2003
56732003
Geographically weighted regression: a method for exploring spatial nonstationarity
C Brunsdon, AS Fotheringham, ME Charlton
Geographical analysis 28 (4), 281-298, 1996
3327*1996
Quantitative geography: perspectives on spatial data analysis
AS Fotheringham, C Brunsdon, M Charlton
Sage, 2000
16212000
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
9971998
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
5562008
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
5011999
Geographically weighted Poisson regression for disease association mapping
T Nakaya, AS Fotheringham, C Brunsdon, M Charlton
Statistics in medicine 24 (17), 2695-2717, 2005
4882005
The geography of parameter space: an investigation of spatial non-stationarity
S Fotheringham, M Charlton, C Brunsdon
International Journal of Geographical Information Science 10 (5), 605-627, 1996
4071996
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
3632008
The SAGE handbook of spatial analysis
AS Fotheringham, PA Rogerson
Sage, 2008
359*2008
Local forms of spatial analysis
AS Fotheringham, C Brunsdon
Geographical analysis 31 (4), 340-358, 1999
3551999
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
3282013
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
2852013
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
2652001
Geographically weighted regression
M Charlton, S Fotheringham, C Brunsdon
White paper. National Centre for Geocomputation. National University of …, 2009
2522009
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
2452001
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), 1-11, 2011
2412011
Geographically weighted summary statistics—a framework for localised exploratory data analysis
C Brunsdon, AS Fotheringham, M Charlton
Computers, Environment and Urban Systems 26 (6), 501-524, 2002
2052002
Spatial nonstationarity and autoregressive models
C Brunsdon, AS Fotheringham, M Charlton
Environment and Planning A 30 (6), 957-973, 1998
2051998
Geographically weighted regression white paper
M Charlton, AS Fotheringham, C Brunsdon
Kildare: National University of Ireland Maynooth, 1-14, 2009
2002009
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20