High Resolution Viewscape Modeling Evaluated Through Immersive Virtual Environments
High Resolution Viewscape Modeling Evaluated Through Immersive Virtual Environments
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DOI：
10.3390/ijgi9070445
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发表时间：
2020-07
期刊：
影响因子：
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通讯作者：
Payam Tabrizian;A. Petrasova;Perver K. Baran;Jelena Vukomanovic;H. Mitásová;R. Meentemeyer
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文献类型：
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作者：
Payam Tabrizian;A. Petrasova;Perver K. Baran;Jelena Vukomanovic;H. Mitásová;R. Meentemeyer
城市环境的视觉特征影响着人类的感知和行为，包括对生活、娱乐和交通方式的选择。尽管地理空间可视化在更好地为城市规划和设计提供信息方面具有巨大的潜力，但缺乏以足够精细的分辨率实际测量和模拟城市和公园景观的计算方法。在本研究中，我们开发并评估了一种综合方法来测量和模拟城市公园中混合用途城市环境的精细尺度景观特征。我们的景观方法通过结合基于高分辨率激光雷达的数字表面模型、视觉障碍和逼真的沉浸式虚拟环境（IVEs），提高了地理空间和感知激发技术的集成。我们通过比较景观组成和配置指标与人类受试者在多个景观设置中对IVEs的评估来评估我们的景观模型的真实感。我们发现景观指标与参与者对景观开放性和自然性的感知之间存在显著的相关性，与景观复杂性之间存在中等强的相关性。这些结果表明，激光雷达增强的景观模型可以充分反映精细尺度城市环境的视觉特征。研究结果还表明，人类感知与景观格局之间存在一定的关系。我们的方法允许城市规划者和设计师模拟和虚拟评估城市公园和自然景观的高分辨率视图，其中包含从未展示过的精细细节。
Visual characteristics of urban environments influence human perception and behavior, including choices for living, recreation and modes of transportation. Although geospatial visualizations hold great potential to better inform urban planning and design, computational methods are lacking to realistically measure and model urban and parkland viewscapes at sufficiently fine-scale resolution. In this study, we develop and evaluate an integrative approach to measuring and modeling fine-scale viewscape characteristics of a mixed-use urban environment, a city park. Our viewscape approach improves the integration of geospatial and perception elicitation techniques by combining high-resolution lidar-based digital surface models, visual obstruction, and photorealistic immersive virtual environments (IVEs). We assessed the realism of our viewscape models by comparing metrics of viewscape composition and configuration to human subject evaluations of IVEs across multiple landscape settings. We found strongly significant correlations between viewscape metrics and participants’ perceptions of viewscape openness and naturalness, and moderately strong correlations with landscape complexity. These results suggest that lidar-enhanced viewscape models can adequately represent visual characteristics of fine-scale urban environments. Findings also indicate the existence of relationships between human perception and landscape pattern. Our approach allows urban planners and designers to model and virtually evaluate high-resolution viewscapes of urban parks and natural landscapes with fine-scale details never before demonstrated.