Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analysis of income dynamics. We use state‐level US income data from 1929 to 2009 to demonstrate the visual analytics system and its utility for exploring similar data. The system consists of two modules, visualization and analytics. The visualization module, a Web‐based front‐end called Rank‐Path Visualizer (RPV), draws inspiration from the cartographic technique of flow mapping, originally developed by Tobler and embodied in his canonical Flow Mapper application.

中文翻译：

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可视化分析系统，用于利用动画流图和基于等级的马尔可夫链进行区域收入分配的时空动态

区域收入趋同和差异一直是20多年来活跃的研究领域，并且该领域的研究论文仍在以惊人的速度产生。尽管它们对于收入分配动力学的研究很重要，但稀疏开发了显示收入数据时空维度的交互式可视化工具。这项研究引入了一种视觉分析系统，用于收入动态的时空分析。我们使用1929年至2009年的美国州级收入数据来演示视觉分析系统及其用于探索类似数据的实用工具。该系统由可视化和分析两个模块组成。可视化模块是一种基于Web的前端，称为Rank-Path Visualizer（RPV），它从流程映射的制图技术中汲取了灵感，