Relationships between the Visual Quality and Color Patterns: Study in Peri-Urban Forests Dominated by Cotinus coggygria var. cinerea Engl. in Autumn in Beijing, China

Cao, Yujuan; Liu, Yanming; Li, Xinyu; Wang, Xing; Dai, Ziyun; Duan, Minjie; Xu, Rui; Zhao, Songting; Liu, Xiuping; Li, Jiale; Xie, Junfei

doi:10.3390/f13121996

Cited by 2 publications

(1 citation statement)

References 44 publications

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“…Cao et al investigated the effect of color block patterns on landscape preference in suburban forests. The research showed that the average area of the color blocks was positively related to landscape preference, and the number of color blocks, maximum patch index, and standard deviation of patch size were negatively related to landscape preference [41]. These above studies showed that landscape color features and spatial form features had a significant effect on landscape aesthetic preference.…”

Section: Introductionmentioning

confidence: 74%

Expanding the Associations between Landscape Characteristics and Aesthetic Sensory Perception for Traditional Village Public Space

Chen,

Yan,

Wang

et al. 2024

Forests

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Traditional village landscapes have a cultural and regional significance, and the visual aesthetic quality of the landscape is widely regarded as a valuable resource to benefit the health and well-being of urban residents. Although the literature has analyzed the influential mechanism of landscape features on aesthetic senses, most were from a single dimension. To improve the precision of the landscape aesthetic evaluation method, this study expanded the indicators for landscape characteristics of public spaces in traditional villages by incorporating multiple dimensions, such as landscape visual attraction elements and landscape color. It explored their associations with sensory preferences in a case study in Dongshan (a peninsula) and Xishan (an island) of Taihu Lake. We used multi-source data, a semantic segmentation model, and R language to identify landscape characteristic indicators quantitatively. The research results indicated that the accuracy of the aesthetic sensory assessment model integrating multi-dimensional landscape characteristic indicators was significantly improved; in the open space of traditional villages, the public preferred a scenario with a high proportion of trees, relatively open space, mild and uniform color tones, suitability for movement, and the ability to produce a restorative and peaceful atmosphere. This study can provide a guarantee for the efficient use of village landscape resources, the optimization of rural landscapes, and the precise enhancement of traditional village habitat.

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Section: Introductionmentioning

confidence: 74%

Expanding the Associations between Landscape Characteristics and Aesthetic Sensory Perception for Traditional Village Public Space

Chen,

Yan,

Wang

et al. 2024

Forests

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Constructing a Forest Color Palette and the Effects of the Color Patch Index on Human Eye Recognition Accuracy

Han

Zhang

Wang

et al. 2023

Forests

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As the first visual element, color is the most attractive in the forest landscape. There are various kinds of forest colors; however, the human eye’s ability to recognize them is limited. In order to combine color composition and human eye recognition ability to quantify forest colors more appropriately and to improve the ornamental effect of forest color landscapes more precisely, we have constructed a forest color palette using k-means clustering based on the color information of 986 forest images from 40 national forest parks in China. The differences in color recognition accuracy and sensitivity among populations and colors were analyzed. The effect of forest color patch indices on color identification accuracy for interior and distant forest landscapes was also explored. The results were as follows: (1) forest color could be divided into eight color families—orange, yellow, yellow-green, green, blue-green, blue, purple, and red. (2) For humans, the recognition accuracy was highest for green and lowest for blue-green. (3) For interior forest landscapes, the mean area proportion and fractal dimension of the color patches showed significant positive effects on color recognition accuracy, whereas the number and density of color patches showed significant negative effects. For distant forest landscapes, the density and Shannon’s diversity index of the color patches showed significant positive effects for color recognition accuracy, whereas the number, edge density, division index, and cohesion of the color patches showed significant negative effects. We thus suggest that it is necessary to increase the complexity of the color patch shape when creating interior forest landscapes and to focus on the diversity and balance of color matching when creating distant forest landscapes. In future studies, the collection pathways for forest images should be expanded, and color information extraction algorithms that incorporate human perception should be selected. This will improve the data available for forest color studies and enable the construction of a more accurate forest color palette.

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Relationships between the Visual Quality and Color Patterns: Study in Peri-Urban Forests Dominated by Cotinus coggygria var. cinerea Engl. in Autumn in Beijing, China

Cited by 2 publications

References 44 publications

Expanding the Associations between Landscape Characteristics and Aesthetic Sensory Perception for Traditional Village Public Space

Expanding the Associations between Landscape Characteristics and Aesthetic Sensory Perception for Traditional Village Public Space

Constructing a Forest Color Palette and the Effects of the Color Patch Index on Human Eye Recognition Accuracy

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