Visible space by landscape recognition of local inhabitant and its Composition in Japan

Hirotomo Ohuchi*, Satoshi Yamada, Setsuko Ouchi

*Corresponding author for this work

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

Abstract

This study discusses relationship between the extent of the sphere of cognition by local inhabitants in coastal fishing area and the physical environment, as ascertained from a questionnaire survey of local inhabitants. Object is 59 coastal fishing villages (Izu and Bousou peninsula in Japan) in which the sea, a town, and a mountain are realized in one, and has complicated geographical feature. We have been researched the complexity and metamorphosis patterns of common areas in coastal fishing regions using sphere graphic method. Based on research, this study analysis Explicate Order and Implicate Order formed from the mutual relationship of the cognitive region and visibility and determine relationship between cognitive attribution and visibility. We analysis visibility with visible region image using the 3-dimensional shade picture which applied the inverse-square damping which is approximation to man's visual recognition and which is obtained from a spread of light. From above analysis, correlativity of cognitive attribution and visibility by landscape recognition of local inhabitants was shown and its Composition was determined.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
Pages263-270
Number of pages8
Volume3
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2010 - Shanghai, China
Duration: 2010 Jun 62010 Jun 11

Other

OtherASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2010
Country/TerritoryChina
CityShanghai
Period10/6/610/6/11

ASJC Scopus subject areas

  • Ocean Engineering
  • Mechanical Engineering
  • Energy Engineering and Power Technology

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