Abstract
Mural paintings are precious and irreplaceable as cultural heritage components. At present, however, these paintings are subject to increasing various risks of deterioration. Thus, a visual analytics method based on risk management is proposed in this study to analyze these risks. A series of multi-scale analytic tools is designed and developed with multidimensional and multivariate visualization techniques to study single or multiple risks at the scales of sites, caves, walls, and specific risk areas from different perspectives. Several case studies that contain real data are presented and an expert review is conducted to evaluate the proposed method.
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Acknowledgments
The authors wish to thank Mingming Wang for having meaningful discussions with them. They are also grateful to Xudong Wang, Bomin Su, Qinglin Guo, Wanyu Zhu, Xiaowei Wang, Zongren Yu, Shujun Ding, and Tianxiu Yu, as well as to all the members of Dunhuang Academics, for providing them with Dunhuang Mogao wall painting survey data, and for their helpful suggestions and ideas. The authors also thank the anonymous reviewers for their useful comments and suggestions. This research was sponsored in part by the Chinese National Science and Technology Support Program through Grant 2013BAK01B05.
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Li, H., Zhang, J. & Sun, J. A visual analytics approach for deterioration risk analysis of ancient frescoes. J Vis 19, 529–542 (2016). https://doi.org/10.1007/s12650-015-0327-5
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DOI: https://doi.org/10.1007/s12650-015-0327-5