A neural-network-based geographic tendency visualization

Hajime Hotta, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we propose a neural-network-based visualization system of geographic tendency. In general, there are some needs of understanding statistical data of geographic tendency, such as geographic marketing data, real-estate prices, and so on. The main purpose of the proposal is to visualize the tendency of these data online with interactive mapping systems, such as Google Maps. The proposed system generates translucent images of a heatmap, which shows the geographic tendency like thermograph. It consists of two steps: (I) construction of a tendency model with a neural network, (2) determine the color scale for the output heatmap. As for (I), a general regression neural network (GRNN) is employed to compose a tendency model by function approximation. As for (2), the output color scale is optimized and the heatmap is finally generated using the composed tendency model.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
Pages817-823
Number of pages7
DOIs
Publication statusPublished - 2008
Event2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, Australia
Duration: 2008 Dec 92008 Dec 12

Other

Other2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
CountryAustralia
CitySydney, NSW
Period08/12/908/12/12

Fingerprint

Visualization
Neural networks
Color
Marketing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Hotta, H., & Hagiwara, M. (2008). A neural-network-based geographic tendency visualization. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 (pp. 817-823). [4740556] https://doi.org/10.1109/WIIAT.2008.141

A neural-network-based geographic tendency visualization. / Hotta, Hajime; Hagiwara, Masafumi.

Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008. 2008. p. 817-823 4740556.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hotta, H & Hagiwara, M 2008, A neural-network-based geographic tendency visualization. in Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008., 4740556, pp. 817-823, 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008, Sydney, NSW, Australia, 08/12/9. https://doi.org/10.1109/WIIAT.2008.141
Hotta H, Hagiwara M. A neural-network-based geographic tendency visualization. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008. 2008. p. 817-823. 4740556 https://doi.org/10.1109/WIIAT.2008.141
Hotta, Hajime ; Hagiwara, Masafumi. / A neural-network-based geographic tendency visualization. Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008. 2008. pp. 817-823
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