Spatial Filtering Applications: Selected Interval/Ratio Datasets

Daniel A. Griffith
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Daniel A. Griffith: Syracuse University

Chapter 5 in Spatial Autocorrelation and Spatial Filtering, 2003, pp 131-152 from Springer

Abstract: Abstract Chapter 1 presents an overview of a variety of georeferenced interval/ratio datasets (§1.4.1). These data are further analyzed in this chapter to help exemplify diverse features of spatial filtering methodology. Three political department-scale geographic distributions of population in Peru (ratio scale values ranging from small to very large), county Lyme disease rates in Georgia (all relatively small ratio scale values), and a biomass index for the High Peak district of England (all interval/ratio scale values of moderate magnitude) illustrate the general method of spatial filtering. The Puerto Rico data illustrate selected features of correlation in the presence of spatial autocorrelation that are captured by a spatial filtering model specification.

Keywords: Sugar Cane; Spatial Autocorrelation; Lyme Disease; Spatial Filter; Positive Spatial Autocorrelation (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1007/978-3-540-24806-4_5

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