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On the density distribution across space: a probabilistic approach

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  • Ilenia Epifani
  • Rosella Nicolini
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    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.

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    File URL: http://research.barcelonagse.eu/tmp/working_papers/388.pdf
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    Bibliographic Info

    Paper provided by Barcelona Graduate School of Economics in its series Working Papers with number 388.

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    Date of creation: Jul 2009
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    Handle: RePEc:bge:wpaper:388

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    Related research

    Keywords: Agglomerations; Bayesian inference; Distance; Gibbs sampling; Kendall's tau index; Population density;

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