The self-organizing map, the Geo-SOM, and relevant variants for geosciences

نویسندگان

  • Fernando Bação
  • Victor Sousa Lobo
  • Marco Painho
چکیده

In this paper we explore the advantages of using Self-Organized Maps (SOMs) when dealing with geo-referenced data. The standard SOM algorithm is presented, together with variants which are relevant in the context of the analysis of geo-referenced data. We present a new SOM architecture, the Geo-SOM, which was especially designed to take into account spatial dependency. The strengths and weaknesses of the different variants proposed are shown through a set of tests based on artificial data. A real world application of these techniques is given through the analysis of geodemographic data from Lisbon’s metropolitan area. r 2004 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Computers & Geosciences

دوره 31  شماره 

صفحات  -

تاریخ انتشار 2005