Abstract
During the last decades immigration phenomenon reached a considerable importance, not only in research sector but also at public opinion level. Migration is a complex phenomenon demanding a system analysis which goes beyond demographic and economic considerations. The purpose of this study was to investigate the spatial structure of foreign presence in Italy in order to identify its geographical demarcation line among different interpretations. Traditional statistical analysis suggests different conventional indices allowing to quantify immigration phenomenon. Traditional indices, as Location Quotients and Segregation Index, have been compared to innovative indices including spatial statistics elements, as well as global and local indicators of spatial association. Such indicators have been created on the basis of available data for the case study, but also considering information which can be easily found in great part of national contexts.
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Scardaccione, G., Scorza, F., Casas, G.L., Murgante, B. (2010). Spatial Autocorrelation Analysis for the Evaluation of Migration Flows: The Italian Case. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_5
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DOI: https://doi.org/10.1007/978-3-642-12156-2_5
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