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

Research output: Contribution to journalArticle

71 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)155-163
Number of pages9
JournalComputers and Geosciences
Volume31
Issue number2
DOIs
Publication statusPublished - Mar 2005

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Self organizing maps
metropolitan area
geo-referenced data
analysis

Keywords

  • Geo-referenced data
  • Geo-SOM
  • Self-Organizing Map
  • SOM variants

Cite this

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abstract = "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.",
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The self-organizing map, the Geo-SOM, and relevant variants for geosciences. / Bação, Fernando; Lobo, Victor; Painho, Marco.

In: Computers and Geosciences, Vol. 31, No. 2, 03.2005, p. 155-163.

Research output: Contribution to journalArticle

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