Martin Charlton

19 papers Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
High-performance solutions of geographically weighted regression in R.
Geo spatial Inf. Sci.
Binbin Lu, Yigong Hu, Daisuke Murakami, Chris Brunsdon, Alexis J. Comber, Martin Charlton, Paul Harris
2019 J jnl
A response to 'A comment on geographically weighted regression with parameter-specific distance metrics'.
Int. J. Geogr. Inf. Sci.
Binbin Lu, Chris Brunsdon, Martin Charlton, Paul Harris
2018 J jnl
Shp2graph: Tools to Convert a Spatial Network into an Igraph Graph in R.
ISPRS Int. J. Geo Inf.
Binbin Lu, Huabo Sun, Paul Harris, Miaozhong Xu, Martin Charlton
2017 J jnl
Geographically weighted regression with parameter-specific distance metrics.
Int. J. Geogr. Inf. Sci.
Binbin Lu, Chris Brunsdon, Martin Charlton, Paul Harris
2016 J jnl
The Minkowski approach for choosing the distance metric in geographically weighted regression.
Int. J. Geogr. Inf. Sci.
Binbin Lu, Martin Charlton, Chris Brunsdon, Paul Harris
2014 J jnl
Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data.
Int. J. Geogr. Inf. Sci.
Binbin Lu, Martin Charlton, Paul Harris, A. Stewart Fotheringham
2014 J jnl
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models.
Geo spatial Inf. Sci.
Binbin Lu, Paul Harris, Martin Charlton, Chris Brunsdon
2013 J jnl
The comap as a diagnostic tool for non-stationary kriging models.
Int. J. Geogr. Inf. Sci.
Paul Harris, Chris Brunsdon, Martin Charlton
2011 J jnl
Geographically weighted principal components analysis.
Int. J. Geogr. Inf. Sci.
Paul Harris, Chris Brunsdon, Martin Charlton
2011 J jnl
The pyrogeography of sub-Saharan Africa: a study of the spatial non-stationarity of fire-environment relationships using GWR.
J. Geogr. Syst.
Ana C. L. Sá, José M. C. Pereira, Martin Charlton, Bernardo Mota, Paulo M. Barbosa, A. Stewart Fotheringham
2010 J jnl
Dual-scale validation of a medium-resolution coastal DEM with terrestrial LiDAR DSM and GPS.
Comput. Geosci.
Seamus Coveney, A. Stewart Fotheringham, Martin Charlton, Timothy McCarthy
2008 — conf
Automated Boundary Creation: Atomic Small Areas in Ireland.
AGILE Conf.
A. Stewart Fotheringham, Peter F. Foley, Martin Charlton
2008 J jnl
Exploring the spatio-temporal dynamics of geographical processes with geographically weighted regression and geovisual analytics.
Inf. Vis.
Urska Demsar, A. Stewart Fotheringham, Martin Charlton
2006 J jnl
Local trend statistics for directional data - A moving window approach.
Comput. Environ. Urban Syst.
Chris Brunsdon, Martin Charlton
2005 J jnl
Smoothing/filtering LiDAR digital surface models. Experiments with loess regression and discrete wavelets.
J. Geogr. Syst.
Nicholas J. Tate, Chris Brunsdon, Martin Charlton, A. Stewart Fotheringham, Claire H. Jarvis
2002 — conf
Geographically Weighted Local Statistics Applied to Binary Data.
GIScience
Chris Brunsdon, A. Stewart Fotheringham, Martin Charlton
1996 J jnl
The Geography of Parameter Space: An Investigation of Spatial Non-Stationarity.
Int. J. Geogr. Inf. Sci.
A. Stewart Fotheringham, Martin Charlton, Chris Brunsdon
1990 J jnl
Building a prototype Geographical Correlates Exploration Machine.
Int. J. Geogr. Inf. Sci.
Stan Openshaw, Anna Cross, Martin Charlton
1987 J jnl
A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets.
Int. J. Geogr. Inf. Sci.
Stan Openshaw, Martin Charlton, Colin Wymer, Alan Craft