Chris Brunsdon

According to our database, Chris Brunsdon authored at least 45 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM.

Alexis J. Comber, Paul Harris, Chris Brunsdon

Int. J. Geogr. Inf. Sci., January, 2024

2023

GWmodelS: A software for geographically weighted models.

Binbin Lu, Yigong Hu, Dongyang Yang, Yong Liu, Liuqi Liao, Zuoyao Yin, Tianyang Xia, Zheyi Dong, Paul Harris, Chris Brunsdon, Lex Comber, Guanpeng Dong

SoftwareX, February, 2023

Multiscale Spatially and Temporally Varying Coefficient Modelling Using a Geographic and Temporal Gaussian Process GAM (GTGP-GAM) (Short Paper).

Alexis J. Comber, Paul Harris, Chris Brunsdon

Proceedings of the 12th International Conference on Geographic Information Science, 2023

Smarter Than Your Average Model - Bayesian Model Averaging as a Spatial Analysis Tool (Short Paper).

Chris Brunsdon, Paul Harris, Alexis J. Comber

Proceedings of the 12th International Conference on Geographic Information Science, 2023

2022

Missing data as data.

Anahid Basiri, Chris Brunsdon

Patterns, 2022

High-performance solutions of geographically weighted regression in R.

Binbin Lu, Yigong Hu, Daisuke Murakami, Chris Brunsdon, Alexis J. Comber, Martin Charlton, Paul Harris

Geo spatial Inf. Sci., 2022

Geographically Varying Coefficient Regression: GWR-Exit and GAM-On? (Short Paper).

Alexis J. Comber, Paul Harris, Daisuke Murakami, Narumasa Tsutsumida, Chris Brunsdon

Proceedings of the 15th International Conference on Spatial Information Theory, 2022

2021

Opening practice: supporting reproducibility and critical spatial data science.

Chris Brunsdon, Alexis J. Comber

J. Geogr. Syst., 2021

2020

Big issues for big data: challenges for critical spatial data analytics.

Chris Brunsdon, Alexis J. Comber

J. Spatial Inf. Sci., 2020

Big Issues for Big Data.

Chris Brunsdon, Alexis J. Comber

CoRR, 2020

2019

A response to 'A comment on geographically weighted regression with parameter-specific distance metrics'.

Binbin Lu, Chris Brunsdon, Martin Charlton, Paul Harris

Int. J. Geogr. Inf. Sci., 2019

2018

Geographically weighted regression models for ordinal categorical response variables: An application to geo-referenced life satisfaction data.

Guanpeng Dong, Tomoki Nakaya, Chris Brunsdon

Comput. Environ. Urban Syst., 2018

Locally-varying explanations behind the United Kingdom's vote to leave the European Union.

Roger Beecham, Aidan Slingsby, Chris Brunsdon

J. Spatial Inf. Sci., 2018

2017

Geographically weighted regression with parameter-specific distance metrics.

Binbin Lu, Chris Brunsdon, Martin Charlton, Paul Harris

Int. J. Geogr. Inf. Sci., 2017

2016

The Role of Contextual Info-Marks in Navigating a Virtual Rural Environment.

Adam Rousell, Claire H. Jarvis, Chris Brunsdon

Trans. GIS, 2016

Establishing a framework for Open Geographic Information science.

Alex David Singleton, Seth E. Spielman, Chris Brunsdon

Int. J. Geogr. Inf. Sci., 2016

The Minkowski approach for choosing the distance metric in geographically weighted regression.

Binbin Lu, Martin Charlton, Chris Brunsdon, Paul Harris

Int. J. Geogr. Inf. Sci., 2016

2014

The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models.

Binbin Lu, Paul Harris, Martin Charlton, Chris Brunsdon

Geo spatial Inf. Sci., 2014

2013

The comap as a diagnostic tool for non-stationary kriging models.

Paul Harris, Chris Brunsdon, Martin Charlton

Int. J. Geogr. Inf. Sci., 2013

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.

Chris Brunsdon

Int. J. Geogr. Inf. Sci., 2013

Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data.

Alexis J. Comber, Chris Brunsdon, Linda M. See, Steffen Fritz, Ian McCallum

Proceedings of the Spatial Information Theory - 11th International Conference, 2013

2012

Assessing the changing flowering date of the common lilac in North America: a random coefficient model approach.

Chris Brunsdon, Alexis J. Comber

GeoInformatica, 2012

Community detection in spatial networks: Inferring land use from a planar graph of land cover objects.

Alexis J. Comber, Chris Brunsdon, Carson J. Q. Farmer

Int. J. Appl. Earth Obs. Geoinformation, 2012

2011

Identifying Discontinuities in Trend Surfaces Using Bilateral Kernel Regression.

Chris Brunsdon

Trans. GIS, 2011

Geographically weighted principal components analysis.

Paul Harris, Chris Brunsdon, Martin Charlton

Int. J. Geogr. Inf. Sci., 2011

A modified grouping genetic algorithm to select ambulance site locations.

Alexis J. Comber, Satoshi Sasaki, Hiroshi Suzuki, Chris Brunsdon

Int. J. Geogr. Inf. Sci., 2011

2010

Grid-enabling Geographically Weighted Regression: A Case Study of Participation in Higher Education in England.

Richard J. Harris, Alexander D. Singleton, Daniel Grose, Chris Brunsdon, Paul A. Longley

Trans. GIS, 2010

Towards Real-Time Geodemographics: Clustering Algorithm Performance for Large Multidimensional Spatial Databases.

Muhammad Adnan, Paul A. Longley, Alexander D. Singleton, Chris Brunsdon

Trans. GIS, 2010

The use of immersive real-time 3D computer graphics for visualisation of dilution of precision in virtual environments.

Jing Li, Claire H. Jarvis, Chris Brunsdon

Int. J. Geogr. Inf. Sci., 2010

Exploring spatial variation and spatial relationships in a freshwater acidification critical load data set for Great Britain using geographically weighted summary statistics.

Paul Harris, Chris Brunsdon

Comput. Geosci., 2010

2008

Improving user assessment of error implications in digital elevation models.

Amii R. Darnell, Nicholas J. Tate, Chris Brunsdon

Comput. Environ. Urban Syst., 2008

2007

The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study.

Jonathan Corcoran, Gary Higgs, Chris Brunsdon, J. Andrew Ware, Paul Norman

Comput. Environ. Urban Syst., 2007

Visualising space and time in crime patterns: A comparison of methods.

Chris Brunsdon, Jonathan Corcoran, Gary Higgs

Comput. Environ. Urban Syst., 2007

Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis.

Jason Dykes, Chris Brunsdon

IEEE Trans. Vis. Comput. Graph., 2007

Modelling and prediction of GPS availability with digital photogrammetry and LiDAR.

George E. Taylor, Jing Li, David B. Kidner, Chris Brunsdon, J. Mark Ware

Int. J. Geogr. Inf. Sci., 2007

2006

GPS accuracy estimation using map matching techniques: Applied to vehicle positioning and odometer calibration.

George E. Taylor, Chris Brunsdon, Jing Li, Andrew Olden, Dörte Steup, Marylin Winter

Comput. Environ. Urban Syst., 2006

Using circular statistics to analyse time patterns in crime incidence.

Chris Brunsdon, Jonathan Corcoran

Comput. Environ. Urban Syst., 2006

Local trend statistics for directional data - A moving window approach.

Chris Brunsdon, Martin Charlton

Comput. Environ. Urban Syst., 2006

2005

Smoothing/filtering LiDAR digital surface models. Experiments with loess regression and discrete wavelets.

Nicholas J. Tate, Chris Brunsdon, Martin Charlton, A. Stewart Fotheringham, Claire H. Jarvis

J. Geogr. Syst., 2005

2004

Some thoughts on inference in the analysis of spatial data.

A. Stewart Fotheringham, Chris Brunsdon

Int. J. Geogr. Inf. Sci., 2004

2002

Geographically Weighted Local Statistics Applied to Binary Data.

Chris Brunsdon, A. Stewart Fotheringham, Martin Charlton

Proceedings of the Geographic Information Science, Second International Conference, 2002

2001

Is 'Statistix Inferens' Still the Geographical Name for a Wild Goose?

Chris Brunsdon

Trans. GIS, 2001

1996

The Geography of Parameter Space: An Investigation of Spatial Non-Stationarity.

A. Stewart Fotheringham, Martin Charlton, Chris Brunsdon

Int. J. Geogr. Inf. Sci., 1996

1994

Vector to Raster Conversion Error and Feature Complexity: an Empirical Study Using Simulated Data.

S. J. Carver, Chris Brunsdon

Int. J. Geogr. Inf. Sci., 1994

1992

Integrating GIS and spatial data analysis: problems and possibilities.

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

Int. J. Geogr. Inf. Sci., 1992