On the density distribution across space: a probabilistic approach

Ilenia Epifani and Rosella Nicolini

No 388, Working Papers from Barcelona School of Economics

Abstract: This paper aims at providing a Bayesian parametric framework to tackle the accessibility problem across space in urban theory. Adopting continuous variables in a probabilistic setting we are able to associate with the distribution density to the Kendall's tau index and replicate the general issues related to the role of proximity in a more general context. In addition, by referring to the Beta and Gamma distribution, we are able to introduce a differentiation feature in each spatial unit without incurring in any a-priori definition of territorial units.We are also providing an empirical application of our theoretical setting to study the density distribution of the population across Massachusetts.

Keywords: agglomerations; Bayesian inference; Distance; Gibbs sampling; Kendall's tau index; Population density (search for similar items in EconPapers)
JEL-codes: C40 R14 (search for similar items in EconPapers)
Date: 2009-07
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Working Paper: On the density distribution across space: a probabilistic approach (2009)
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