Skip to main content

Carto-SOM: cartogram creation using self-organizing maps

Buy Article:

$55.00 plus tax (Refund Policy)

The basic idea of a cartogram is to distort a geographical map by substituting the geographic area of a region by some other variable of interest. The objective is to rescale each region according to the value of the variable of interest while keeping the map, as much as possible, recognizable. There are several algorithms for building cartograms. None of these methods has proved to be universally better than any other, since the trade-offs made to get the correct distortion vary. In this paper we present a new method for building cartograms, based on self-organizing neural networks (Kohonen's self-organizing maps or SOM). The proposed method is widely available and is easy to carry out, and yet has several appealing properties, such as easy parallelization, making up a good tool for geographic data presentation and analysis. We present a series of tests on different problems, comparing the new algorithm with existing ones. We conclude that it is competitive and, in some circumstances, can perform better then existing algorithms.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Cartograms; Kohonen self-organizing maps; Neural networks

Document Type: Research Article

Affiliations: 1: Institute of Statistics and Information Management, New University of Lisbon (ISEGI-UNL), Campus de Campolide, 1070-312 Lisboa, Portugal 2: Institute of Statistics and Information Management, New University of Lisbon (ISEGI-UNL), Campus de Campolide, 1070-312 Lisboa, Portugal,Portuguese Naval Academy, Alfeite, 2810-001 Almada, Portugal

Publication date: 01 April 2009

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more