2000 Fiscal Year Final Research Report Summary
Research on Beautiful Rural Setting
| Project/Area Number |
11556043
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| Research Category |
Grant-in-Aid for Scientific Research (B).
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Irrigation, drainage and rural engineering/Rural planning
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| Research Institution | Mie University |
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Principal Investigator |
OHNO Ken Mie University, Department of Bioresources, Associate Professor, 生物資源学部, 助教授 (90144229)
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| Co-Investigator(Kenkyū-buntansha) |
KUDO Yosuke Osaka Prefecture Univ., Division of Agriculture, Assistant Professor, 農学生命科学研究科, 助手 (80305656)
KASAI Kimiko Color & Environment in Amenity Design Ltd., President, 代表(研究職)
OHNO Hiroyuki OYO Corporation, Core Laboratory, Chief Engineer, 技術本部河川部, 主任(研究職)
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| Project Period (FY) |
1999 – 2000
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| Keywords | Rural Landscape / Fractal / Locality / Landscape Design / Landscape Evaluation |
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| Research Abstract |
To examine beauty of rural landscapes, five methods, which evaluate the quality of landscape, were developed. These methods use concept of Fractal theory, and caluculate Fractality (correlation coefficients for scale with forms or both of forms and colors) and Fractal dimensions. Landscape paintings, rural photographs taken by professional cameramen and us were evaluated. The landscape paintings consisted of Japanese Ukiyoes and paintings by Impressionists. Fractalities of the landscape paintings had high values when scale-transformation method was used. It means that Fractarity is the key factor of the landscape evaluations. However, real photographs had the more complicated structure. High Fractalities did not always mean good landscape because artificial landscapes also had very high Fractalities. Though some totally artificial landscapes are beautiful, partly artificial landscapes are not beautiful. Most of natural landscapes had relatively high Fractalities and Fractal dimensions
… More
when the scale-transformation method was used. Most of natural landscapes had high Fractalities and about 3.5 of Fractal dimensions when the power-spectrum method was used. Most of artificial landscapes had high Fractalities and Fractal dimensions when the box-counting method was used. Very high Fractalities and Fractal dimensions denoted bad landscapes when the box-counting method was used. Very low Fractalities also showed bad landscapes when the box-counting method was used. Very high Fractal dimensions and very low Fractal dimensions meant bad landscapes when the scale-transformation method was used. Very high Fractalities and very low Fractalities denoted bad landscapes when semi-variogram method was used. Anyway, it was found that the methods developed here had some characteristic features. Consequently, landscapes will suitably be evaluated if these methods are appropriately combined. We believe that our methods are useful for the developing method that has the smallest impact on environment. Less
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Research Products
(4 results)
