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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


    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:

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