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Spatial analysis of remote sensing image classification accuracy

Remote sensing of environment, 2012-12, Vol.127, p.237-246

2012

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Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups

Landscape and urban planning, 2008-05, Vol.86 (1), p.103-114

2008

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

Geo-spatial information science, 2014-04, Vol.17 (2), p.85-101

2014

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A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions

International journal of health geographics, 2011-07, Vol.10 (1), p.44-44

2011

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Geographically weighted principal components analysis

International journal of geographical information science : IJGIS, 2011-10, Vol.25 (10), p.1717-1736

2011

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

International journal of geographical information science : IJGIS, 2016-02, Vol.30 (2), p.351-368

2016

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The Importance of Scale in Spatially Varying Coefficient Modeling

Annals of the American Association of Geographers, 2019-01, Vol.109 (1), p.50-70

2019

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

Computers, environment and urban systems, 2018-07, Vol.70, p.35-42

2018

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Opening practice: supporting reproducibility and critical spatial data science

Journal of geographical systems, 2021-10, Vol.23 (4), p.477-496

2021

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

Journal of spatial information science, 2020-01, Vol.2020 (21), p.89-98

2020

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High-performance solutions of geographically weighted regression in R

Geo-spatial information science, 2022-10, Vol.25 (4), p.536-549

2022

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Multivariate Spatial Outlier Detection Using Robust Geographically Weighted Methods

Mathematical geosciences, 2014-01, Vol.46 (1), p.1-31

2014

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Quantitative methods III: Scales of measurement in quantitative human geography

Progress in human geography, 2018-08, Vol.42 (4), p.610-621

Brunsdon, Chris

2018

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GWmodelS: a standalone software to train geographically weighted models

Geo-spatial information science, 2024-05, p.1-23

2024

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Quantitative methods III

Progress in human geography, 2018-08, Vol.42 (4), p.610-621

Brunsdon, Chris

2018

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

Journal of spatial information science, 2018-01, Vol.2018 (16), p.117-136

2018

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Mapping the changing residential geography of White British secondary school children in England using visually balanced cartograms and hexograms

Journal of maps, 2018-01, Vol.14 (1), p.65-72

2018

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GWmodelS: A software for geographically weighted models

SoftwareX, 2023-02, Vol.21, p.101291, Article 101291

2023

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Using genetic algorithms to optimise current and future health planning--the example of ambulance locations

International journal of health geographics, 2010-01, Vol.9 (1), p.4-4, Article 4

2010

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

Computers & geosciences, 2010, Vol.36 (1), p.54-70

2010

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Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor

Stochastic environmental research and risk assessment, 2011-02, Vol.25 (2), p.123-138

2011

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Modelling epidemics: Technical and critical issues in the context of COVID-19

Dialogues in human geography, 2020-07, Vol.10 (2), p.250-254

Brunsdon, Chris

2020

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Quantitative methods I

Progress in human geography, 2016-10, Vol.40 (5), p.687

Brunsdon, Chris

2016

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

Transactions in GIS, 2010-02, Vol.14 (1), p.43-61

2010

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

International journal of geographical information science : IJGIS, 2013-03, Vol.27 (3), p.511-541

2013

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Spatial analysis of remote sensing image classification accuracy

Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups

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

A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions

Geographically weighted principal components analysis

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

The Importance of Scale in Spatially Varying Coefficient Modeling

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

Opening practice: supporting reproducibility and critical spatial data science

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

High-performance solutions of geographically weighted regression in R

Multivariate Spatial Outlier Detection Using Robust Geographically Weighted Methods

Quantitative methods III: Scales of measurement in quantitative human geography

GWmodelS: a standalone software to train geographically weighted models

Quantitative methods III

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

Mapping the changing residential geography of White British secondary school children in England using visually balanced cartograms and hexograms

GWmodelS: A software for geographically weighted models

Using genetic algorithms to optimise current and future health planning--the example of ambulance locations

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

Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor

Modelling epidemics: Technical and critical issues in the context of COVID-19

Quantitative methods I

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

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

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