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

The spatial pattern of color patches plays a crucial role in affecting the visual quality peri-urban forests dominated by Cotinus coggygria var. cinerea Engl. autumn. impact mechanism has been studied to facilitate algorithm-based automatic estimation. patterns 120 photographs were calculated after quantization and substitution. scenic beauty forest was estimated 698 respondents. Multiple correlations between metrics explored with stepwise regression. Principal component analysis (PCA) also employed investigate on quality. Number (NP), largest patch index (LPI), mean area (AREA_MN), size standard deviation (AREA_SD), Shannon’s evenness (SHEI) main factors forest. AREA_MN correlated positively quality, while NP, LPI, AREA_SD, SHEI negatively. Moreover, AREA_SD had most significant landscape, SHEI, second-highest impact. significantly affected landscapes. Balancing diversity decisive creating landscape high