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Chris Brunsdon
Titel
Zitiert von
Zitiert von
Jahr
Geographically weighted regression
AS Fotheringham, C Brunsdon, M Charlton
The Sage handbook of spatial analysis 1, 243-254, 2009
79972009
Geographically weighted regression: a method for exploring spatial nonstationarity
C Brunsdon, AS Fotheringham, ME Charlton
Geographical analysis 28 (4), 281-298, 1996
5520*1996
Quantitative geography: perspectives on spatial data analysis
AS Fotheringham, M Charlton, C Brunsdon
Sage, 2000
19652000
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
14811998
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
8792008
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
6801999
Geographically weighted Poisson regression for disease association mapping
T Nakaya, AS Fotheringham, C Brunsdon, M Charlton
Statistics in medicine 24 (17), 2695-2717, 2005
6692005
GWmodel: an R package for exploring spatial heterogeneity using geographically weighted models
I Gollini, B Lu, M Charlton, C Brunsdon, P Harris
Journal of Statistical Software 63, 1-50, 2015
6212015
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
5941996
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
5262013
Local forms of spatial analysis
AS Fotheringham, C Brunsdon
Geographical analysis 31 (4), 340-358, 1999
4781999
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
4772008
Geographically weighted regression
M Charlton, S Fotheringham, C Brunsdon
White paper. National Centre for Geocomputation. National University of …, 2009
4062009
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, 1-11, 2011
3452011
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
3402002
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models
B Lu, P Harris, M Charlton, C Brunsdon
Geo-spatial Information Science 17 (2), 85-101, 2014
3152014
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
3072001
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 21 (4), 455-466, 2001
3002001
Spatial analysis of remote sensing image classification accuracy
A Comber, P Fisher, C Brunsdon, A Khmag
Remote Sensing of Environment 127, 237-246, 2012
2852012
Visualising space and time in crime patterns: A comparison of methods
C Brunsdon, J Corcoran, G Higgs
Computers, environment and urban systems 31 (1), 52-75, 2007
2772007
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