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Statistical Methods for Spatial Planning and Monitoring pp 93–118Cite as

Socioeconomic Zoning: Comparing Two Statistical Methods

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Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

The aim of this paper is to identify territorial areas and/or population subgroups characterized by situations of deprivation or strong social exclusion through a fuzzy approach that allows the definition of a measure of the degree of belonging to the disadvantaged group. Grouping methods for territorial units are employed for areas with high (or low) intensity of the phenomenon by using clustering methods that permit the aggregation of spatial units that are both contiguous and homogeneous with respect to the phenomenon under study. This work aims to compare two different clustering methods: the first based on the technique of SaTScan [Kuldorff: A spatial scan statistics. Commun. Stat.: Theory Methods 26, 1481–1496 (1997)] and the other based on the use of Seg-DBSCAN, a modified version of DBSCAN [Ester et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceeding of the 2nd International Conference on Knowledge Discovery and Data Mining, pp. 94–99 (1996)]. [The contribution is the result of joint reflections by the authors, with the following contributions attributed to Montrone (Sects. 5.1, 5.3.3 and 5.4) and to Perchinunno (Sects. 5.2, 5.3.1 and 5.3.2).]

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Authors and Affiliations

  1. Dipartimento di Studi Aziendali e Giusprivatistici “Carlo Cecchi”, University of Bari “A. Moro”, Via C. Rosalba 53, 70100, Bari, Italy

    Silvestro Montrone & Paola Perchinunno

Authors
  1. Silvestro Montrone
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  2. Paola Perchinunno
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Correspondence to Paola Perchinunno .

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Editors and Affiliations

  1. , Department of Statistical Sciences “Carl, University of Bari “A. Moro”, Bari, Ital, Via Camillo Rosalba 53, Bari, 70100, Bari, Italy

    Silvestro Montrone

  2. , Department of Statistical Sciences “Carl, University of Bari “A. Moro”, Bari, Ital, Via Camillo Rosalba 53, Bari, 70100, Bari, Italy

    Paola Perchinunno

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Montrone, S., Perchinunno, P. (2013). Socioeconomic Zoning: Comparing Two Statistical Methods. In: Montrone, S., Perchinunno, P. (eds) Statistical Methods for Spatial Planning and Monitoring. Contributions to Statistics. Springer, Milano. https://doi.org/10.1007/978-88-470-2751-0_5

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