大数据可视化都有哪些参考文献

1. "Big Data Visualization: Exploring the State of the Art." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, by Dong, Guimei, et al., vol. 8, no. 3, 2018, pp. e1238.

2. "Visual Analysis of Big Data." IEEE Transactions on Visualization and Computer Graphics, by Keim, Daniel A., et al., vol. 22, no. 8, 2016, pp. 2291-2307.

3. "Big Data Visualization: A State-of-the-Art Review." Journal of Visual Languages & Computing, by Behrisch, Michael, et al., vol. 28, 2015, pp. 12-24.

4. "Visualizing Big Data: Exploring the Variability of Data and Visualization Techniques." Journal of Big Data, by Mick, Florian, et al., vol. 4, no. 1, 2017, pp. 24.

5. "Big Data Visualization for Analytical Decision Making." Procedia Computer Science, by Mayer, Iris, and David Weiskopf, vol. 158, 2019, pp. 214-223.

对于大数据可视化方面的参考文献，以下是一些可以作为参考的文献资源：

1. Heer, J., & Shneiderman, B. (2012). Interactive dynamics for visual analysis. Communications of the ACM, 55(4), 45-54.
2. Segel, E., & Heer, J. (2010). Narrative visualization: Telling stories with data. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1139-1148.
3. Ware, C. (2004). Information visualization: Perception for design. Elsevier.
4. Few, S. (2009). Now you see it: Simple visualization techniques for quantitative analysis. Analytics Press.
5. Tufte, E. R. (2001). The visual display of quantitative information. Graphics press.
6. Kosslyn, S. M. (2006). Graph design for the eye and mind. Oxford University Press.
7. Wilkinson, L. (2005). The grammar of graphics. Springer Science & Business Media.
8. Bertin, J. (1983). Semiology of graphics: Diagrams, networks, maps. ESRI Press.
9. Munzner, T. (2014). Visualization analysis and design. CRC Press.
10. Cleveland, W. S., & McGill, R. (1984). Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, 79(387), 531-554.

这些文献涵盖了大数据可视化的各个方面，包括交互式可视化、故事性可视化、信息可视化的感知原理、简单可视化技术、图形设计原则等，有助于深入了解大数据可视化的理论和实践。

大数据可视化是一个涉及到数据科学、信息可视化和图形学等多个领域的交叉学科领域。以下是一些关于大数据可视化方面的参考文献：

1. Big Data Visualization: Towards a New Theory of Overflow in: Theory on Demand series. Zevenbergen J., Nack F., Brouwer J., Hoff H., 2018. 这本书讨论了大数据可视化的理论和方法，探索了数据可视化的潜在新理论。

2. Big Data Visualization. N. Elmqvist, L. Yi, Y. Qiao, K. Wan. IEEE Computer Graphics and Applications, 33(4):20-21, 2013. 这篇文章出自IEEE Computer Graphics and Applications期刊，提供了关于大数据可视化的概述，介绍了当前的研究和技术趋势。

3. Interactive Data Visualization for Big Data: A Survey. T. Nirkhiwale, C. Patil. International Journal of Computer Applications, 134(1), 2016. 本文调研了大数据可视化的交互式方法，包括互动技术和可视化设计。

4. The state of the art in big data visualization. Chen, Min, and Shi Chen. arXiv preprint arXiv:1803.10077, 2018. 该文献回顾了大数据可视化的现状，包括技术、工具和挑战。

5. Visual Analysis of Big Data: State-of-the-Art and Future Research Challenges. Keim, D. A., Mansmann, F., Schneidewind, J., Ziegler, H., & El-Assady, M. Computer Graphics Forum, 36(8), 2017. 这篇文章综合地讨论了大数据可视化的视觉分析，未来的研究挑战以及可能的研究方向。

6. Big Data Visualization Tools Comparison and Review. Bush, M. Applied Mathematics & Information Sciences, 10(3), 2016. 本文讨论了不同的大数据可视化工具，对它们的性能和特点进行了比较和评价。

除了以上的文献外，你还可以通过学术搜索引擎，如Google Scholar、IEEE Xplore、ACM Digital Library等进行更进一步的检索。当然，不同的领域和具体需求会有不同的参考文献，建议在查阅文献时结合自身感兴趣的研究点进行深入检索。