A neural-network-based geographic tendency visualization

Hajime Hotta, Masafumi Hagiwara

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
ページ817-823
ページ数7
DOI
出版ステータスPublished - 2008 12月 1
イベント2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, Australia
継続期間: 2008 12月 92008 12月 12

出版物シリーズ

名前Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

Other

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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