Analyzing migration phenomena with spatial autocorrelation techniques

作者: Beniamino Murgante , Giuseppe Borruso

DOI: 10.1007/978-3-642-31075-1_50

关键词: Categorical variableStatisticsNationalityEconomic geographyGeographySpatial analysisImmigrationSocial securityPhenomenonDiversity index

摘要: In recent times a complete lack of attention to migration phenomena, in national and global policies, led huge concentration foreigners major cities Europe USA. This trend has been faced without effective policies programs. Consequently, great opportunity transformed threat the word immigration is generally associated with term social security. less than one century, Italy from country originating flows which destination flows. The aim this paper examine foreign distinguishing according nationality foreigners. order analyze phenomenon Shannon Simpson Diversity Indices measure level entropy distribution variation categorical data have used. spatial dimension analyzed using Spatial Autocorrelation techniques more particularly Local Indicators Association highest values foreigner group considering relationship surrounding municipalities.

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