Browse by author
Lookup NU author(s): Professor Alexander Fotheringham, Emeritus Professor Steve Juggins
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Geographically weighted regression (GWR) is used to investigate spatial relationships between freshwater acidification critical load data and contextual catchment data across Great Britain. Although this analysis is important in developing a greater understanding of the critical load process, the study also examines the application of the GWR technique itself. In particular, and unlike many previous presentations of GWR, the steps taken in choosing a particular GWR model form are presented in detail. A further important advance here is that the calibration results of the chosen GWR model are scrutinized for robustness to outlying observations. With respect to the critical load process itself, the results of this study largely agree with those of earlier research, where relationships between critical load and catchment data can vary across space. The more sophisticated spatial statistical models used here, however, are shown to be more flexible and informative, allowing a clearer picture of process heterogeneities to be revealed.
Author(s): Harris P, Fotheringham AS, Juggins S
Publication type: Article
Publication status: Published
Journal: Annals of The Association of American Geographers
Year: 2010
Volume: 100
Issue: 2
Pages: 286-306
Print publication date: 08/03/2010
ISSN (print): 0004-5608
ISSN (electronic): 1467-8306
Publisher: Routledge
URL: http://dx.doi.org/10.1080/00045600903550378
DOI: 10.1080/00045600903550378
Altmetrics provided by Altmetric
