Abstract
Chapter 1 presents an overview of a variety of georeferenced counts datasets1 (see §1.4.2). These data are further analyzed in this chapter to exemplify how spatial filtering methodology can capture positive spatial autocorrelation for georeferenced Poisson variables and to demonstrate how spatial autocorrelation impacts upon overdispersion.
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© 2003 Springer-Verlag Berlin Heidelberg
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Griffith, D.A. (2003). Spatial Filtering Applications: Selected Counts Datasets. In: Spatial Autocorrelation and Spatial Filtering. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24806-4_6
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DOI: https://doi.org/10.1007/978-3-540-24806-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05666-6
Online ISBN: 978-3-540-24806-4
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