Research on cognitive evaluation of forest color based on visual behavior experiments and landscape preference
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Research on cognitive evaluation of forest color based on visual behavior experiments and landscape preference
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Identifier |
https://doi.org/10.7910/DVN/LEBXEL
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Creator |
Lin, Wenyue
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Publisher |
Harvard Dataverse
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Description |
Forest colors are important elements for public enjoying the scenery. So increasing attention has been acquired on forest color cognization . However, related research based on eye tracking technology is still limited. Therefore, We seek to examine the relationship between visual behavior and forest color, and further interpret the visual indicators through the value of scenic beauty. This study researched Jiaozi Mountain in China by selecting 29 sampling points, counting up 116 photographs in 4 seasons by a mountainous region.. On this basis, Matlab programming was performed to quantitatively extract color elements, while ArcGIS and Fragstats were applied to extract the spatial index of color patches. A total of 10 indicators were obtained to explain the color characteristics of each forest image. This study is purposed to figure out the characteristics and differences of forest color landscape in different seasons for human visual behavior and psychological cognitive evaluation, and to better understand the relationship between them. That is to say, based on the color characteristics, an analysis will be conducted regarding the impact of cognitive evaluation conducted by participants of forest color on their spatial visual observation behavior.
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Subject |
Other
forest color eye-tracking color cognitive |
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Contributor |
Lin, Wenyue
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