Abstract Higher-order information of moving objects is of great importance for processing in-case scenarios in emergency management. Multivariate higher-order information management is a crucial key to the success of emergency management since emergency management involves developing plans with a given set of multiple resources. Past studies focus on univariate higher-order information limiting the scope of applicability and usability. This paper proposes a set of visual analytical approaches supporting multivariate higher-order information for dynamically moving disasters. We introduce a robust Voronoi-based data structure supporting multivariate datasets and dynamic disasters and propose visual analytical approaches for effective emergency management. The proposed visual analytical suite facilitates interactivity and enables users to explore in-case scenarios with multivariate datasets and dynamic disasters. A case study with real datasets is given to explain the applicability, usability and practicability of the proposed system. Graphic abstract

中文翻译：

---

用于应急管理的多元高阶信息的可视化分析工具

摘要 移动物体的高阶信息对于应急管理中的应急场景处理具有重要意义。多元高阶信息管理是应急管理成功的关键，因为应急管理涉及使用一组给定的多种资源制定计划。过去的研究侧重于限制适用性和可用性范围的单变量高阶信息。本文提出了一套可视化分析方法，支持动态移动灾害的多元高阶信息。我们引入了一个强大的基于 Voronoi 的数据结构，支持多变量数据集和动态灾害，并提出了有效应急管理的可视化分析方法。拟议的可视化分析套件促进了交互性，并使用户能够探索具有多元数据集和动态灾难的案例场景。给出了一个真实数据集的案例研究，以解释所提出系统的适用性、可用性和实用性。图形摘要