Visible space by landscape recognition by local inhabitants and the composition

Hirotomo Ohuchi, Satoshi Yamada, Setsuko Ouchi

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

Abstract

This study discusses the relationship between the extent of the sphere of cognition by local inhabitants in a coastal fishing area and the physical environment, as ascertained from a questionnaire survey of local inhabitants. The object is 59 coastal fishing villages (Izu and Bousou peninsulas in Japan) in which the sea, a town, and a mountain are considered as one, and the object has complicated geographic features. We have researched the complexity and metamorphosis patterns of common areas in coastal fishing regions using the sphere graphic method. Based on research, this study analyzes the explicate order and the implicate order formed from the mutual relationship of the cognitive region and visibility, and determined the relationship between cognitive attribution and visibility. We analyzed the visibility with a visible region image using the 3-dimensional shade picture, which applied inverse-square damping, which is an approximation of human visual recognition and is obtained from a spread of light. From the above analysis, the correlativity of cognitive attribution and visibility by landscape recognition by the local inhabitants was shown, and its composition was determined.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009
Pages27-33
Number of pages7
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventInternational Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009 - Cancun, Mexico
Duration: 2009 Feb 12009 Feb 7

Other

OtherInternational Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009
CountryMexico
CityCancun
Period09/2/109/2/7

Keywords

  • ! landscape recognition
  • 3D image visualization model
  • Component

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

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  • Cite this

    Ohuchi, H., Yamada, S., & Ouchi, S. (2009). Visible space by landscape recognition by local inhabitants and the composition. In Proceedings of the International Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009 (pp. 27-33). [4782687] https://doi.org/10.1109/GEOWS.2009.26