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Martin Charlton
Martin Charlton
National Centre for Geocomputation, National University of Ireland Maynooth
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Geographically weighted regression: the analysis of spatially varying relationships
AS Fotheringham, C Brunsdon, M Charlton
John Wiley & Sons Inc, 2002
7746*2002
Geographically weighted regression
C Brunsdon, S Fotheringham, M Charlton
Journal of the Royal Statistical Society: Series D (The Statistician) 47 (3 …, 1998
5048*1998
Geographically Weighted 36 Regression-Modelling Spatial Non-Stationarity
C Brunsdon, S Fotheringham, M Charlton
Journal of the Royal Statistical Society 37, 431-443, 1998
5048*1998
Geographically weighted regression: a method for exploring spatial nonstationarity
C Brunsdon, AS Fotheringham, ME Charlton
Geographical analysis 28 (4), 281-298, 1996
38151996
Quantitative geography: perspectives on spatial data analysis
AS Fotheringham, C Brunsdon, M Charlton
Sage, 2000
19082000
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
13911998
A mark 1 geographical analysis machine for the automated analysis of point data sets
S Openshaw, M Charlton, C Wymer, A Craft
International Journal of Geographical Information System 1 (4), 335-358, 1987
7911987
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
6511999
Geographically weighted Poisson regression for disease association mapping
T Nakaya, AS Fotheringham, C Brunsdon, M Charlton
Statistics in medicine 24 (17), 2695-2717, 2005
6482005
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
5741996
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
5552013
Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data
B Lu, M Charlton, P Harris, AS Fotheringham
International Journal of Geographical Information Science 28 (4), 660-681, 2014
3842014
Geographically weighted regression
M Charlton, S Fotheringham, C Brunsdon
White paper. National Centre for Geocomputation. National University of …, 2009
3782009
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
3072002
Investigation of leukaemia clusters by use of a geographical analysis machine
S Openshaw, M Charlton, AW Craft, JM Birch
The Lancet 331 (8580), 272-273, 1988
3051988
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
2932001
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
2832014
Spatial nonstationarity and autoregressive models
C Brunsdon, AS Fotheringham, M Charlton
Environment and Planning A 30 (6), 957-973, 1998
2561998
Geographically weighted regression-modelling spatial non-stationarity
ME Charlton, CF Brunsdon, AS Fotheringham
Journal of The Royal Statistical Society, Series D: The Statistician, 1998
2491998
Application of airborne LiDAR in river environments: the River Coquet, Northumberland, UK
ME Charlton, ARG Large, IC Fuller
Earth Surface Processes and Landforms 28 (3), 299-306, 2003
2442003
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Artículos 1–20