Chris Brunsdon

52 papers Journal 44Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Accommodating Space-Time Scaling Issues in GAM-Based Varying Coefficient Models. GIScience Alexis J. Comber, Paul Harris, Chris Brunsdon
2025	J	`jnl`	GWmodelS: a standalone software to train geographically weighted models. Geo spatial Inf. Sci. Binbin Lu, Yigong Hu, Dongyang Yang, Yong Liu, Guangyu Ou, Paul Harris, Chris Brunsdon, Alexis J. Comber, Guanpeng Dong
2025	—	`conf`	How much time to include in multiscale space-time regressions? Optimising predictor variable temporal lags. AGILE Conference Alexis J. Comber, Paul Harris, Chris Brunsdon
2025	J	`jnl`	Sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling. R J. Kevin Horan, Katarina Domijan, Chris Brunsdon
2024	J	`jnl`	Encapsulating Spatially Varying Relationships with a Generalized Additive Model. ISPRS Int. J. Geo Inf. Alexis J. Comber, Paul Harris, Daisuke Murakami, Tomoki Nakaya, Narumasa Tsutsumida, Takahiro Yoshida, Chris Brunsdon
2024	J	`jnl`	Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM. Int. J. Geogr. Inf. Sci. Alexis J. Comber, Paul Harris, Chris Brunsdon
2023	J	`jnl`	GWmodelS: A software for geographically weighted models. SoftwareX Binbin Lu, Yigong Hu, Dongyang Yang, Yong Liu, Liuqi Liao, Zuoyao Yin, Tianyang Xia, Zheyi Dong, Paul Harris, Chris Brunsdon, Lex Comber, Guanpeng Dong
2023	—	`conf`	Multiscale Spatially and Temporally Varying Coefficient Modelling Using a Geographic and Temporal Gaussian Process GAM (GTGP-GAM) (Short Paper). GIScience Alexis J. Comber, Paul Harris, Chris Brunsdon
2023	—	`conf`	Smarter Than Your Average Model - Bayesian Model Averaging as a Spatial Analysis Tool (Short Paper). GIScience Chris Brunsdon, Paul Harris, Alexis J. Comber
2022	—	`conf`	Geographically Varying Coefficient Regression: GWR-Exit and GAM-On? (Short Paper). COSIT Alexis J. Comber, Paul Harris, Daisuke Murakami, Narumasa Tsutsumida, Chris Brunsdon
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
2022	J	`jnl`	Missing data as data. Patterns Anahid Basiri, Chris Brunsdon
2022	—	`conf`	Spatially Varying Coefficient Regression with GAM Gaussian Process splines: GAM(e)-on. AGILE Conf. Alexis J. Comber, Paul Harris, Chris Brunsdon
2021	J	`jnl`	Opening practice: supporting reproducibility and critical spatial data science. J. Geogr. Syst. Chris Brunsdon, Alexis J. Comber
2020	J	`jnl`	Big Issues for Big Data. CoRR Chris Brunsdon, Alexis J. Comber
2020	J	`jnl`	Big issues for big data: challenges for critical spatial data analytics. J. Spatial Inf. Sci. Chris Brunsdon, Alexis J. Comber
2020	J	`jnl`	Opening practice: supporting Reproducibility and Critical spatial data science. CoRR Chris Brunsdon, Alexis J. Comber
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`	Geographically weighted regression models for ordinal categorical response variables: An application to geo-referenced life satisfaction data. Comput. Environ. Urban Syst. Guanpeng Dong, Tomoki Nakaya, Chris Brunsdon
2018	J	`jnl`	Locally-varying explanations behind the United Kingdom's vote to leave the European Union. J. Spatial Inf. Sci. Roger Beecham, Aidan Slingsby, Chris Brunsdon
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`	Establishing a framework for Open Geographic Information science. Int. J. Geogr. Inf. Sci. Alex David Singleton, Seth E. Spielman, Chris Brunsdon
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
2016	J	`jnl`	The Role of Contextual Info-Marks in Navigating a Virtual Rural Environment. Trans. GIS Adam Rousell, Claire H. Jarvis, Chris Brunsdon
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	—	`conf`	Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data. COSIT Alexis J. Comber, Chris Brunsdon, Linda M. See, Steffen Fritz, Ian McCallum
2013	J	`jnl`	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. 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
2012	J	`jnl`	Assessing the changing flowering date of the common lilac in North America: a random coefficient model approach. GeoInformatica Chris Brunsdon, Alexis J. Comber
2012	J	`jnl`	Community detection in spatial networks: Inferring land use from a planar graph of land cover objects. Int. J. Appl. Earth Obs. Geoinformation Alexis J. Comber, Chris Brunsdon, Carson J. Q. Farmer
2011	J	`jnl`	A modified grouping genetic algorithm to select ambulance site locations. Int. J. Geogr. Inf. Sci. Alexis J. Comber, Satoshi Sasaki, Hiroshi Suzuki, Chris Brunsdon
2011	J	`jnl`	Geographically weighted principal components analysis. Int. J. Geogr. Inf. Sci. Paul Harris, Chris Brunsdon, Martin Charlton
2011	J	`jnl`	Identifying Discontinuities in Trend Surfaces Using Bilateral Kernel Regression. Trans. GIS Chris Brunsdon
2010	J	`jnl`	Exploring spatial variation and spatial relationships in a freshwater acidification critical load data set for Great Britain using geographically weighted summary statistics. Comput. Geosci. Paul Harris, Chris Brunsdon
2010	J	`jnl`	Grid-enabling Geographically Weighted Regression: A Case Study of Participation in Higher Education in England. Trans. GIS Richard J. Harris, Alexander D. Singleton, Daniel Grose, Chris Brunsdon, Paul A. Longley
2010	J	`jnl`	The use of immersive real-time 3D computer graphics for visualisation of dilution of precision in virtual environments. Int. J. Geogr. Inf. Sci. Jing Li, Claire H. Jarvis, Chris Brunsdon
2010	J	`jnl`	Towards Real-Time Geodemographics: Clustering Algorithm Performance for Large Multidimensional Spatial Databases. Trans. GIS Muhammad Adnan, Paul A. Longley, Alexander D. Singleton, Chris Brunsdon
2008	J	`jnl`	Improving user assessment of error implications in digital elevation models. Comput. Environ. Urban Syst. Amii R. Darnell, Nicholas J. Tate, Chris Brunsdon
2007	J	`jnl`	Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis. IEEE Trans. Vis. Comput. Graph. Jason Dykes, Chris Brunsdon
2007	J	`jnl`	Modelling and prediction of GPS availability with digital photogrammetry and LiDAR. Int. J. Geogr. Inf. Sci. George E. Taylor, Jing Li, David B. Kidner, Chris Brunsdon, J. Mark Ware
2007	J	`jnl`	The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study. Comput. Environ. Urban Syst. Jonathan Corcoran, Gary Higgs, Chris Brunsdon, J. Andrew Ware, Paul Norman
2007	J	`jnl`	Visualising space and time in crime patterns: A comparison of methods. Comput. Environ. Urban Syst. Chris Brunsdon, Jonathan Corcoran, Gary Higgs
2006	J	`jnl`	GPS accuracy estimation using map matching techniques: Applied to vehicle positioning and odometer calibration. Comput. Environ. Urban Syst. George E. Taylor, Chris Brunsdon, Jing Li, Andrew Olden, Dörte Steup, Marylin Winter
2006	J	`jnl`	Local trend statistics for directional data - A moving window approach. Comput. Environ. Urban Syst. Chris Brunsdon, Martin Charlton
2006	J	`jnl`	Using circular statistics to analyse time patterns in crime incidence. Comput. Environ. Urban Syst. Chris Brunsdon, Jonathan Corcoran
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
2004	J	`jnl`	Some thoughts on inference in the analysis of spatial data. Int. J. Geogr. Inf. Sci. A. Stewart Fotheringham, Chris Brunsdon
2002	—	`conf`	Geographically Weighted Local Statistics Applied to Binary Data. GIScience Chris Brunsdon, A. Stewart Fotheringham, Martin Charlton
2001	J	`jnl`	Is 'Statistix Inferens' Still the Geographical Name for a Wild Goose? Trans. GIS Chris Brunsdon
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
1994	J	`jnl`	Vector to Raster Conversion Error and Feature Complexity: an Empirical Study Using Simulated Data. Int. J. Geogr. Inf. Sci. S. J. Carver, Chris Brunsdon
1992	J	`jnl`	Integrating GIS and spatial data analysis: problems and possibilities. Int. J. Geogr. Inf. Sci. 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