Dealing with Spatiotemporal Heterogeneity: The Generalized BME Model

Hwa-Lung Yu (), George Christakos and Patrick Bogaert
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Hwa-Lung Yu: National Taiwan University

A chapter in Progress in Spatial Analysis, 2010, pp 75-91 from Springer

Abstract: Abstract Geographical studies involving natural systems and their attributes (e.g., environmental processes, land use parameters, human exposure indicators, disease variables, and financial indexes) often need to quantitatively assess spatiotemporal dependence and generate informative maps of the attributes across space-time. These are important, indeed, goals of spatiotemporal systems modelling and data analysis introduced in a modern statistical framework by Christakos (1990, 1991a,b, 1992). Subsequent works include Goodall and Mardia (1994), Haas (1995), Bogaert (1996), Christakos and Hristopulos (1998), and Kyriakidis and Journel (1999). Among the more recent developments one should notice the works of Serre et al. (2003), Kolovos et al. (2002, 2004), Douaik et al. (2004), Christakos et al. (2002, 2005), Stein (2005), Law et al. (2006), Porcu et al. (2006, 2008), Yu et al. (2007a–c), Renshaw et al. (2008), and Ruiz-Medina et al. (2008a,b).

Keywords: Hard Data; Simulated Field; Soft Information; Soft Data; Epistematics Knowledge (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-03326-1_5

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