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Geographically Weighted Regression: The Analysis of Spatially Varying Relationships
Acknowledgements.Local Statistics and Local Models for Spatial Data. Geographically Weighted Regression: The Basics. Extensions to the Basic GWR Model. Statistical Inference and GeographicallyExpand
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Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
TLDR
Spatial nonstationarity is a condition in which a simple “global” model cannot explain the relationships between some sets of variables. Expand
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Geographically Weighted Regression
In regression models where the cases are geographical locations, sometimes regression coefficients do not remain fixed over space. A technique for exploring this phenomenon, geographically weightedExpand
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Quantitative Geography: Perspectives on Spatial Data Analysis
Establishing the Boundaries Spatial Data The Role of Geographic Information Systems Exploring Spatial Data Visually Local Analysis Point Pattern Analysis Spatial Regression and Geostatistical ModelsExpand
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Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis
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 onExpand
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Some Notes on Parametric Significance Tests for Geographically Weighted Regression
The technique of geographically weighted regression (GWR) is used to model spatial 'drift' in linear model coefficients. In this paper we extend the ideas of GWR in a number of ways. First, weExpand
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Can fluorescence spectrometry be used as a surrogate for the Biochemical Oxygen Demand (BOD) test in water quality assessment? An example from South West England.
The fluorescence intensities of tryptophan-like, tyrosine-like and humic-like materials were determined using excitation-emission-matrices (EEMs) for a wide range of samples including natural surfaceExpand
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Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups
Greenspace access in an English city was analysed using a network analysis in a geographical information system (GIS). Access for different religious and ethnic groups was compared with benchmarkExpand
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Estimating probability surfaces for geographical point data: an adaptive kernel algorithm
TLDR
The statistical analysis of spatially referenced information has been acknowledged as an important component of geographical data processing. Expand
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