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  • 标题:Migration Processes in European Cities: A Spatio-Temporal Analysis Using Different Spatial Weights Matrices
  • 本地全文:下载
  • 作者:Elzbieta Antczak ; Karolina Lewandowska-Gwarda
  • 期刊名称:Estudios de Economía Aplicada
  • 印刷版ISSN:1133-3197
  • 电子版ISSN:1697-5731
  • 出版年度:2015
  • 卷号:33
  • 期号:1
  • 页码:53-80
  • 语种:English
  • 出版社:Asociación Internacional de Economía Aplicada
  • 摘要:The aim of the article is to verify a hypothesis on the occurrence of spatial interactions in foreign migrations in selected European cities by applying different spatial weights matrices that define the multidimensional spatial dependences. The analysis used GIS, ESDA, geostatistical, spatial statistics and econometric tools to recognise and examine these interactions. The main part of the study was a specification of six spatial weights matrices that described relations occurring between cities in different ways: two adjacency and directional adjacency matrices, two geographical distance matrices and economic distance matrix. The study covered 271 European cities in the years 2005-2012. The analysed variable was net migration per 1000 people.
  • 其他摘要:The aim of the article is to verify a hypothesis on the occurrence of spatial interactions in foreign migrations in selected European cities by applying different spatial weights matrices that define the multidimensional spatial dependences. The analysis used GIS, ESDA, geostatistical, spatial statistics and econometric tools to recognise and examine these interactions. The main part of the study was a specification of six spatial weights matrices that described relations occurring between cities in different ways: two adjacency and directional adjacency matrices, two geographical distance matrices and economic distance matrix. The study covered 271 European cities in the years 2005-2012. The analysed variable was net migration per 1000 people.
  • 关键词:Migration Process in Cities; Spatial Autocorrelation; Spatial Weight Matrixes; ESDA; Spatial Statistics.
  • 其他关键词:Migration Process in Cities; Spatial Autocorrelation; Spatial Weight Matrixes; ESDA; Spatial Statistics.
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