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

Fernando Bação; Victor Lobo; Marco Painho

doi:10.1016/j.cageo.2004.06.013

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

Fernando Bação, Victor Lobo, Marco Painho

NOVA Information Management School (NOVA IMS)

Research output: Contribution to journal › Article › peer-review

88 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 language	English
Pages (from-to)	155-163
Number of pages	9
Journal	Computers and Geosciences
Volume	31
Issue number	2
DOIs	https://doi.org/10.1016/j.cageo.2004.06.013
Publication status	Published - Mar 2005

Keywords

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

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10.1016/j.cageo.2004.06.013

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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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AU - Lobo, Victor

AU - Painho, Marco

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KW - Geo-SOM

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KW - SOM variants

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

Abstract

Keywords

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