基于美景度评价的多肉植物室外景观评价模型构建
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Q94

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国家自然科学基金(31100195)


An aesthetics evaluation model of Succulent outdoor landscape based on Scenic Beauty Estimation
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    摘要:

    针对多肉植物室外景观评价指标繁多、关系复杂,难以对其进行有效综合评价的问题,运用美景度评价法,筛选出了生态、美学、养护三大类评价指标体系,对三种不同类型的多肉植物景观进行评价,并通过偏相关分析,剔除相关系数最小的评价因子,保留对美景度值贡献较大的群落层次、协调共生、多样与统一、均衡与稳定、色彩搭配、色彩丰富、植株长势、周边环境等8个因子,再通过SPSS 18.0用多元线性Backward回归的方法建立了多肉植物景观美景度评价模型,即Y=0.201X1+0.177X2+0.072X3+0.069X4+0.210X5+0.120X6+0.106X7+0.117X8,其中,Y表示多肉植物景观美景度标准值,X1表示群落层次,X2表示协调共生,X3表示多样与统一,X4表示均衡与稳定,X5表示色彩搭配,X6表示色彩丰富,X7表示植株长势,X8表示周边环境.研究结果可以为多肉植物室外景观评价、设计与建造提供更为科学的方法.

    Abstract:

    In view of the wide range of outdoor landscaping evaluation indicators and the complex relationships, it is difficult to evaluate the succulents effectively and comprehensively. By using the Scenic Beauty Evaluation method, three evaluation indexes of ecology, aesthetics and maintenance were selected to evaluate three different types of succulent landscapes. And through the partial correlation analysis, the evaluation factor with the smallest correlation coefficient is eliminated, and the community level, coordination, symbiosis, diversity, unity, balance, stability, color matching, rich colors, plant growth, and surrounding environment, which contribute a lot to the scenic beauty value, are retained. Finally, the multi-linear backward regression method was used to establish the evaluation model of succulent landscape scenic beauty by SPSS 18.0, namely Y =0.201 X1+0.177 X2+0.072 X3+0.069 X4+0.210 X5+0.120 X6+0.106 X7+0.117 X8. Among them, Y is the standard value of succulent landscape scenic beauty, X1 means community level, X2 means coordinated symbiosis, X3 means diversity and unity, X4 means balance and stability, X5 means color matching, X6 means rich colors, X7 means plant growth, and X8 means surrounding environment. The results of this study can provide a more scientific approach to the evaluation, design, and construction of outdoor landscapes for succulents.

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引用本文格式: 税寒秋,尹若西,尹蓝静,廖晨阳,罗言云. 基于美景度评价的多肉植物室外景观评价模型构建[J]. 四川大学学报: 自然科学版, 2019, 56: 182.

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  • 收稿日期:2018-07-09
  • 最后修改日期:2018-09-13
  • 录用日期:2018-09-14
  • 在线发布日期: 2019-01-23
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