摘要
尽管环境视觉感知领域有深厚科研积累,但由于系统性理论及实证缺乏、感受信息采集失真、缺乏实景信息互动等问题,景观视觉规划设计实践仍然相对薄弱。本文以美国景观视觉资源管理方法为研究对象,采用历史研究和预实验的方法,以选取美国林务局视觉规划为例,总结了传统景观视觉规划设计中可能存在的主要问题,并在此基础上介绍了如何通过包括生物反馈信息采集、地理信息协同平台、增强现实等技术对目前景观视觉规划设计过程进行优化和模拟检验。预实验结果表明上述若干新技术对于改进现有视觉规划设计方法有一定的效果,并分析了新技术的发展潜力。
Despite years of studies on visual perception, landscape architecture has not built an effective practice on visual resource planning and design, due to a lack of systematic theories and evidences, information distortion, and a lack of interactive access to on-site landscape during design. Landscape visual resource planning and design methods in the United States was analyzed in this ,study via historical narrative and pilot experiment methods. Using US forestry, service methods as example, this study summarized the possible limitations in the common methods used in traditional visual resource planning and design. Based on a review of limitations, new techniques and analysis methods, which may possibly improve these conditions, were reviewed in this paper too, includirlg,,biofeedback information collection, geo-collaborating platforms, and augmented reality. Pilot experiments yelled promising results for improving current methods in landscape visual resource planning and design. The development protential Of the new techniques was also analyzed.
出处
《风景园林》
2015年第5期111-117,共7页
Landscape Architecture
基金
上海市浦江人才计划(14PJC099)~~
关键词
视觉规划设计
景观视觉
生物反馈信息采集
地理信息协同平台
增强现实
Visual Planning and Design
Landscape Vision
Biofeedback Information Collection
Geo-collaborating Platforms
Augmented Reality