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Martin Charlton
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2020 – today
- 2022
- [j17]Binbin Lu, Yigong Hu, Daisuke Murakami, Chris Brunsdon, Alexis J. Comber, Martin Charlton, Paul Harris:
High-performance solutions of geographically weighted regression in R. Geo spatial Inf. Sci. 25(4): 536-549 (2022)
2010 – 2019
- 2019
- [j16]Binbin Lu, Chris Brunsdon, Martin Charlton, Paul Harris:
A response to 'A comment on geographically weighted regression with parameter-specific distance metrics'. Int. J. Geogr. Inf. Sci. 33(7): 1300-1312 (2019) - 2018
- [j15]Binbin Lu, Huabo Sun, Paul Harris, Miaozhong Xu, Martin Charlton:
Shp2graph: Tools to Convert a Spatial Network into an Igraph Graph in R. ISPRS Int. J. Geo Inf. 7(8): 293 (2018) - 2017
- [j14]Binbin Lu, Chris Brunsdon, Martin Charlton, Paul Harris:
Geographically weighted regression with parameter-specific distance metrics. Int. J. Geogr. Inf. Sci. 31(5): 982-998 (2017) - 2016
- [j13]Binbin Lu, Martin Charlton, Chris Brunsdon, Paul Harris:
The Minkowski approach for choosing the distance metric in geographically weighted regression. Int. J. Geogr. Inf. Sci. 30(2): 351-368 (2016) - 2014
- [j12]Binbin Lu, Martin Charlton, Paul Harris, A. Stewart Fotheringham:
Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data. Int. J. Geogr. Inf. Sci. 28(4): 660-681 (2014) - [j11]Binbin Lu, Paul Harris, Martin Charlton, Chris Brunsdon:
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models. Geo spatial Inf. Sci. 17(2): 85-101 (2014) - 2013
- [j10]Paul Harris, Chris Brunsdon, Martin Charlton:
The comap as a diagnostic tool for non-stationary kriging models. Int. J. Geogr. Inf. Sci. 27(3): 511-541 (2013) - 2011
- [j9]Paul Harris, Chris Brunsdon, Martin Charlton:
Geographically weighted principal components analysis. Int. J. Geogr. Inf. Sci. 25(10): 1717-1736 (2011) - [j8]Ana C. L. Sá, José M. C. Pereira, Martin Charlton, Bernardo Mota, Paulo M. Barbosa, A. Stewart Fotheringham:
The pyrogeography of sub-Saharan Africa: a study of the spatial non-stationarity of fire-environment relationships using GWR. J. Geogr. Syst. 13(3): 227-248 (2011) - 2010
- [j7]Seamus Coveney, A. Stewart Fotheringham, Martin Charlton, Timothy McCarthy:
Dual-scale validation of a medium-resolution coastal DEM with terrestrial LiDAR DSM and GPS. Comput. Geosci. 36(4): 489-499 (2010)
2000 – 2009
- 2008
- [j6]Urska Demsar, A. Stewart Fotheringham, Martin Charlton:
Exploring the spatio-temporal dynamics of geographical processes with geographically weighted regression and geovisual analytics. Inf. Vis. 7(3-4): 181-197 (2008) - [c2]A. Stewart Fotheringham, Peter F. Foley, Martin Charlton:
Automated Boundary Creation: Atomic Small Areas in Ireland. AGILE Conf. 2008: 241-259 - 2006
- [j5]Chris Brunsdon, Martin Charlton:
Local trend statistics for directional data - A moving window approach. Comput. Environ. Urban Syst. 30(2): 130-142 (2006) - 2005
- [j4]Nicholas J. Tate, Chris Brunsdon, Martin Charlton, A. Stewart Fotheringham, Claire H. Jarvis:
Smoothing/filtering LiDAR digital surface models. Experiments with loess regression and discrete wavelets. J. Geogr. Syst. 7(3-4): 273-290 (2005) - 2002
- [c1]Chris Brunsdon, A. Stewart Fotheringham, Martin Charlton:
Geographically Weighted Local Statistics Applied to Binary Data. GIScience 2002: 38-50
1990 – 1999
- 1996
- [j3]A. Stewart Fotheringham, Martin Charlton, Chris Brunsdon:
The Geography of Parameter Space: An Investigation of Spatial Non-Stationarity. Int. J. Geogr. Inf. Sci. 10(5): 605-627 (1996) - 1990
- [j2]Stan Openshaw, Anna Cross, Martin Charlton:
Building a prototype Geographical Correlates Exploration Machine. Int. J. Geogr. Inf. Sci. 4(3): 297-311 (1990)
1980 – 1989
- 1987
- [j1]Stan Openshaw, Martin Charlton, Colin Wymer, Alan Craft:
A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets. Int. J. Geogr. Inf. Sci. 1(4): 335-358 (1987)
Coauthor Index
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