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Chris Brunsdon
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2020 – today
- 2024
- [j39]Alexis J. Comber
, Paul Harris
Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM. Int. J. Geogr. Inf. Sci. 38(1): 27-47 (2024) - 2023
- [j38]Binbin Lu, Yigong Hu
GWmodelS: A software for geographically weighted models. SoftwareX 21: 101291 (2023) - [c5]Chris Brunsdon, Paul Harris, Alexis J. Comber:
Smarter Than Your Average Model - Bayesian Model Averaging as a Spatial Analysis Tool (Short Paper). GIScience 2023: 17:1-17:6 - [c4]Alexis J. Comber, Paul Harris, Chris Brunsdon:
Multiscale Spatially and Temporally Varying Coefficient Modelling Using a Geographic and Temporal Gaussian Process GAM (GTGP-GAM) (Short Paper). GIScience 2023: 22:1-22:6 - 2022
- [j37]Binbin Lu
High-performance solutions of geographically weighted regression in R. Geo spatial Inf. Sci. 25(4): 536-549 (2022) - [j36]Anahid Basiri, Chris Brunsdon:
Missing data as data. Patterns 3(9): 100587 (2022) - [c3]Alexis J. Comber
Geographically Varying Coefficient Regression: GWR-Exit and GAM-On? (Short Paper). COSIT 2022: 13:1-13:10 - 2021
- [j35]Chris Brunsdon
Opening practice: supporting reproducibility and critical spatial data science. J. Geogr. Syst. 23(4): 477-496 (2021) - 2020
- [j34]Chris Brunsdon, Alexis J. Comber:
Big issues for big data: challenges for critical spatial data analytics. J. Spatial Inf. Sci. 21(1): 89-98 (2020) - [i2]Chris Brunsdon, Alexis J. Comber:
Big Issues for Big Data. CoRR abs/2007.11281 (2020) - [i1]Chris Brunsdon, Alexis J. Comber:
Opening practice: supporting Reproducibility and Critical spatial data science. CoRR abs/2008.03256 (2020)
2010 – 2019
- 2019
- [j33]Binbin Lu
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
- [j32]Roger Beecham
Locally-varying explanations behind the United Kingdom's vote to leave the European Union. J. Spatial Inf. Sci. 16(1): 117-136 (2018) - [j31]Guanpeng Dong, Tomoki Nakaya
Geographically weighted regression models for ordinal categorical response variables: An application to geo-referenced life satisfaction data. Comput. Environ. Urban Syst. 70: 35-42 (2018) - 2017
- [j30]Binbin Lu
Geographically weighted regression with parameter-specific distance metrics. Int. J. Geogr. Inf. Sci. 31(5): 982-998 (2017) - 2016
- [j29]Binbin Lu
The Minkowski approach for choosing the distance metric in geographically weighted regression. Int. J. Geogr. Inf. Sci. 30(2): 351-368 (2016) - [j28]Alex David Singleton
Establishing a framework for Open Geographic Information science. Int. J. Geogr. Inf. Sci. 30(8): 1507-1521 (2016) - [j27]Adam Rousell
The Role of Contextual Info-Marks in Navigating a Virtual Rural Environment. Trans. GIS 20(1): 1-19 (2016) - 2014
- [j26]Binbin Lu
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models. Geo spatial Inf. Sci. 17(2): 85-101 (2014) - 2013
- [j25]Chris Brunsdon
Computing with spatial trajectories, edited by Yu ZhengXiaofang Zhou, Berlin, Springer, 2011, 1st ed., £84.99 (hardcover), 308 pp. ISBN-10: 1461416280; ISBN-13: 978-1461416289. Int. J. Geogr. Inf. Sci. 27(1): 208-209 (2013) - [j24]Paul Harris
The comap as a diagnostic tool for non-stationary kriging models. Int. J. Geogr. Inf. Sci. 27(3): 511-541 (2013) - [c2]Alexis J. Comber, Chris Brunsdon, Linda M. See, Steffen Fritz, Ian McCallum:
Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data. COSIT 2013: 243-260 - 2012
- [j23]Alexis J. Comber
Community detection in spatial networks: Inferring land use from a planar graph of land cover objects. Int. J. Appl. Earth Obs. Geoinformation 18: 274-282 (2012) - [j22]Chris Brunsdon
Assessing the changing flowering date of the common lilac in North America: a random coefficient model approach. GeoInformatica 16(4): 675-690 (2012) - 2011
- [j21]Alexis J. Comber
A modified grouping genetic algorithm to select ambulance site locations. Int. J. Geogr. Inf. Sci. 25(5): 807-823 (2011) - [j20]Paul Harris
Geographically weighted principal components analysis. Int. J. Geogr. Inf. Sci. 25(10): 1717-1736 (2011) - [j19]Chris Brunsdon
Identifying Discontinuities in Trend Surfaces Using Bilateral Kernel Regression. Trans. GIS 15(3): 385-400 (2011) - 2010
- [j18]Paul Harris
Exploring spatial variation and spatial relationships in a freshwater acidification critical load data set for Great Britain using geographically weighted summary statistics. Comput. Geosci. 36(1): 54-70 (2010) - [j17]Jing Li, Claire H. Jarvis, Chris Brunsdon
The use of immersive real-time 3D computer graphics for visualisation of dilution of precision in virtual environments. Int. J. Geogr. Inf. Sci. 24(4): 591-605 (2010) - [j16]Richard J. Harris
Grid-enabling Geographically Weighted Regression: A Case Study of Participation in Higher Education in England. Trans. GIS 14(1): 43-61 (2010) - [j15]Muhammad Adnan, Paul A. Longley, Alexander D. Singleton
Towards Real-Time Geodemographics: Clustering Algorithm Performance for Large Multidimensional Spatial Databases. Trans. GIS 14(3): 283-297 (2010)
2000 – 2009
- 2008
- [j14]Amii R. Darnell, Nicholas J. Tate, Chris Brunsdon
Improving user assessment of error implications in digital elevation models. Comput. Environ. Urban Syst. 32(4): 268-277 (2008) - 2007
- [j13]George E. Taylor, Jing Li, David B. Kidner, Chris Brunsdon
Modelling and prediction of GPS availability with digital photogrammetry and LiDAR. Int. J. Geogr. Inf. Sci. 21(1): 1-20 (2007) - [j12]Jason Dykes, Chris Brunsdon
Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis. IEEE Trans. Vis. Comput. Graph. 13(6): 1161-1168 (2007) - [j11]Chris Brunsdon
Visualising space and time in crime patterns: A comparison of methods. Comput. Environ. Urban Syst. 31(1): 52-75 (2007) - [j10]Jonathan Corcoran
The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study. Comput. Environ. Urban Syst. 31(6): 623-647 (2007) - 2006
- [j9]Chris Brunsdon
Local trend statistics for directional data - A moving window approach. Comput. Environ. Urban Syst. 30(2): 130-142 (2006) - [j8]Chris Brunsdon
Using circular statistics to analyse time patterns in crime incidence. Comput. Environ. Urban Syst. 30(3): 300-319 (2006) - [j7]George E. Taylor, Chris Brunsdon
GPS accuracy estimation using map matching techniques: Applied to vehicle positioning and odometer calibration. Comput. Environ. Urban Syst. 30(6): 757-772 (2006) - 2005
- [j6]Nicholas J. Tate, Chris Brunsdon
Smoothing/filtering LiDAR digital surface models. Experiments with loess regression and discrete wavelets. J. Geogr. Syst. 7(3-4): 273-290 (2005) - 2004
- [j5]A. Stewart Fotheringham, Chris Brunsdon
Some thoughts on inference in the analysis of spatial data. Int. J. Geogr. Inf. Sci. 18(5): 447-457 (2004) - 2002
- [c1]Chris Brunsdon, A. Stewart Fotheringham, Martin Charlton:
Geographically Weighted Local Statistics Applied to Binary Data. GIScience 2002: 38-50 - 2001
- [j4]Chris Brunsdon:
Is 'Statistix Inferens' Still the Geographical Name for a Wild Goose? Trans. GIS 5(1): 1-3 (2001)
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) - 1994
- [j2]S. J. Carver, Chris Brunsdon
Vector to Raster Conversion Error and Feature Complexity: an Empirical Study Using Simulated Data. Int. J. Geogr. Inf. Sci. 8(3): 261-270 (1994) - 1992
- [j1]Michael F. Goodchild, Robert Haining, Stephen Wise, Giuseppe Arbia, Luc Anselin, Earl G. Bossard, Chris Brunsdon, Peter Diggle, Robin Flowerdew, Mick Green, Daniel A. Griffith, Les Hepple, Thelma Krug, R. J. Martin, Stan Openshaw:
Integrating GIS and spatial data analysis: problems and possibilities. Int. J. Geogr. Inf. Sci. 6(5): 407-423 (1992)
Coauthor Index
aka: Lex Comber
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