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  • 标题:Network-Based Modelling and Geographic Information Systems
  • 本地全文:下载
  • 作者:Luiza Nicoleta RADU ; Daniela-Luminita CONSTANTIN
  • 期刊名称:Economy Informatics
  • 印刷版ISSN:1582-7941
  • 出版年度:2007
  • 卷号:VII
  • 期号:1
  • 出版社:INFOREC Association
  • 摘要:One of the latest developments of the location theory envisages the territorial net-works, which are considered the most complex type of clusters (compared to pure agglomera-tion and industrial district), more and more researchers concentrating on the systemic ap-proach of these networks and the possibilities to develop adequate models for their analysis. The Geographic Information Systems represent one of the most useful tools in this respect. This paper proposes an inquiry into the network definition and typology, pointing out the pos-sibilities to use the neural network- based models in order to study the territorial relation-ships. The role of Geographic Information System (GIS) as one of the instruments that can provide valuable information in data analyses is also considered.
  • 关键词:network typology; neural networks; GIS.
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