Harris, Paul and Brunsdon, Chris (2010) Exploring spatial variation and spatial relationships in a freshwater acidification critical load data set for Great Britain using geographically weighted summary statistics. Computers and Geosciences, 36 (1). pp. 54-70. ISSN 0098-3004

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Abstract

In this study, geographically weighted summary statistics (GWSSs) are used to investigate spatial variation and spatial relationships in a freshwater acidification critical load data set covering Great Britain. This use of GWSSs not only provides valuable insight into the critical load process prior to a geographically weighted regression (GWR) calibration, but also helps in interpreting its output. GWSSs are similarly useful prior to the calibration of other spatial models, such as those used in geostatistics. Results agree with those of previous research, where relationships between critical load and contextual catchment data can vary across space. However the more sophisticated models used here are shown to be much more flexible and informative, allowing more spatial patterns to be revealed than before

Item Type:	Article
Keywords:	Local statistics; Geographical kernel weighting; Nonstationarity; Acidified surface waters; Catchment characteristics;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	5879
Identification Number:	https://doi.org/10.1016/j.cageo.2009.04.012
Depositing User:	Prof. Chris Brunsdon
Date Deposited:	19 Feb 2015 16:08
Journal or Publication Title:	Computers and Geosciences
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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