C
Chris Brunsdon
Researcher at Maynooth University
Publications - 174
Citations - 16945
Chris Brunsdon is an academic researcher from Maynooth University. The author has contributed to research in topics: Spatial analysis & Regression analysis. The author has an hindex of 45, co-authored 166 publications receiving 14914 citations. Previous affiliations of Chris Brunsdon include University of South Wales & Newcastle University.
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Book
Geographically Weighted Regression: The Analysis of Spatially Varying Relationships
TL;DR: In this paper, the basic GWR model is extended to include local statistics and local models for spatial data, and a software for Geographically Weighting Regression is described. But this software is not suitable for the analysis of large scale data.
Journal ArticleDOI
Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
TL;DR: A technique is developed, termed geographically weighted regression, which attempts to capture variation by calibrating a multiple regression model which allows different relationships to exist at different points in space by using Monte Carlo methods.
Journal ArticleDOI
Geographically Weighted Regression
TL;DR: In this article, a technique for exploring this phenomenon, geographically weighted regression, is introduced, and a related Monte Carlo significance test for spatial non-stationarity is also considered, using limiting long-term illness data from the 1991 UK census.
Journal ArticleDOI
Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis
TL;DR: Geographically weighted regression and the expansion method are two statistical techniques which can be used to examine the spatial variability of regression results across a region and so inform on the presence of spatial nonstationarity as discussed by the authors.
Book
Quantitative geography : perspectives on spatial data analysis
TL;DR: In this article, the role of Geographic Information Systems Exploring Spatial Data Visually Local Analysis Point Pattern Analysis Spatial Regression and Geostatistical Models Statistical Inference for Spatial data Spatial Modelling and the Evolution of Spatial Theory Challenges in SPatial Data Analysis