Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2024, Vol. 60 ›› Issue (6): 1055-1066.DOI: 10.13209/j.0479-8023.2024.077

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Investigation into Visualization of P-bearing Minerals Informatics

ZHUANG Ziyi, LI Yan†, YIN Rongzhang, WU Junqi, LU Anhuai, LAI Yong   

  1. The Key Laboratory of Orogenic Belts and Crustal Evolution (MOE), Beijing Key Laboratory of Mineral Environmental Function, 
    School of Earth and Space Sciences, Peking University, Beijing 100871
  • Received:2024-05-09 Revised:2024-08-23 Online:2024-11-20 Published:2024-11-20
  • Contact: LI Yan, E-mail: liyan-pku(at)pku.edu.cn

含磷矿物信息学的可视化研究

庄子仪, 李艳†, 殷荣章, 伍峻琦, 鲁安怀, 赖勇   

  1. 造山带与地壳演化教育部重点实验室, 矿物环境功能北京市重点实验室, 北京大学地球与空间科学学院, 北京 100871
  • 通讯作者: 李艳, E-mail: liyan-pku(at)pku.edu.cn
  • 基金资助:
    国家自然科学基金(42192502, 92351302, 42372049)资助

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Abstract:

Network analysis, element correlation analysis and phylogenetic analysis are applied in the visualization methods study of mineral crystal chemistry data. Taking P-bearing minerals as an example, force-directed network and bipartite network diagram of mineral composition and genesis, phylogenetic tree of mineral crystal characteristics and correlation heat maps of mineral component elements are drawn. These methods also take into account the spatial and temporal distribution, evolutionary diversity and physical and chemical properties of minerals. The use of these visual analysis methods is helpful to explore the evolution of the Earth’s environment using mineralogical records through deep time and understand its evolutionary process and driving mechanism.

Key words:

摘要：

将网络分析、元素相关性分析及系统发育分析应用到矿物晶体化学数据的可视化方法学研究中。以含磷矿物为例, 绘制矿物成分和成因网络力导向图和二分网络图、矿物晶体特征演化系统发育树和矿物组成元素的相关性热图。这些可视化方法同时考虑了矿物在空间和时间上分布和演化的多样性及其物理化学性质等信息, 有助于用深时矿物学记录来探究地球环境的演化, 并理解其演化过程和驱动机制。

关键词: 矿物信息学, 含磷矿物, 可视化方法, 网络分析, 系统发育分析, 元素相关性分析

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