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Visual analysis method for cultural heritage site risk assessment

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Abstract

Many significant cultural heritage sites are at risk caused by natural environment. A unique type of natural risk to heritage sites is deterioration risk. Conservators and managers of heritage sites are attempting to develop a risk management approach to reduce this type of risk. Risk assessment is the essential component part of risk management process. However, it is hindered by several challenges resulting from the complexity of deterioration risk. We propose the use of visual analysis method for deterioration risk assessment focusing on matching the major needs and objectives of deterioration risk analysis. Our purpose is to facilitate risk analysis which consists of perceiving risk as basis, risk level estimate, and risk cause analysis. A spatial view of deterioration risk is designed for the discovery of distribution patterns. Based on clustering technique, we propose a visual analytics method for risk level analysis. Lastly, the proposed multidimensional data analysis technique is used to detect the causes of deterioration risks.

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Acknowledgments

The authors are grateful to Mingming Wang for helpful discussions and for proofreading the paper. We appreciate the assistance of Xudong Wang, Bomin Su, Qinglin Guo, Wanyu Zhu, Xiaowei Wang, Zongren Yu, Shujun Ding, Tianxiu Yu, and all of the Dunhuang Academics for providing the Dunhuang Mogao wall-painting survey data and for sharing valuable suggestions and comments. We also thank the anonymous reviewers for helping us improve the quality of our paper. This study was partly sponsored by the Chinese National Science and Technology Support Program through Grant 2013BAK01B05.

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Authors and Affiliations

  1. School of Computer Science and Technology, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, People’s Republic of China

    Kun Qian & Jizhou Sun

  2. School of Computer Software, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, People’s Republic of China

    Hui Chen

  3. School of Computer Software and Information Technology Research Center for Cultural Heritage Conservation and Promotion, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, People’s Republic of China

    Jiawan Zhang

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  1. Kun Qian
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  2. Jizhou Sun
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  3. Hui Chen
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  4. Jiawan Zhang
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Correspondence to Jiawan Zhang.

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Qian, K., Sun, J., Chen, H. et al. Visual analysis method for cultural heritage site risk assessment. J Vis 19, 503–514 (2016). https://doi.org/10.1007/s12650-015-0325-7

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  • DOI: https://doi.org/10.1007/s12650-015-0325-7

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