Assessing the landscape of toolkits, frameworks, and authoring tools for urban visual analytics systems

• DOI: 10.1016/j.cag.2024.104013
• Publication Date: 2024-07-25T01:02:13Z
• Authors: Leonardo Ferreira; Gustavo Moreira; Maryam Hosseini; Marcos Lage; Nivan Ferreira; Fabio Miranda
• Keywords: Cultural Analytics

Over the past decade, there has been a significant increase in development of visual analytics systems dedicated to addressing urban issues. These distill intricate analysis workflows into intuitive, interactive representations and interfaces, enabling users explore, understand, derive insights from large complex data, including street-level imagery, street networks, building geometries. Developing systems, however, is challenging endeavor that requires considerable programming expertise interaction between various multidisciplinary stakeholders. This situation often leads monolithic isolated prototypes are hard reproduce, combine, or extend. Concurrently, an availability general urban-specific toolkits, frameworks, authoring tools open source abstract away need implement low-level functionalities. paper provides hierarchical taxonomy contextualize how they usually designed, implemented, evaluated. We develop this across three distinct levels (i.e., dimensions, categories, tags), juxtaposing visualization with analytics, system dimensions. then assess extent which current open-source can effectively support components tailored identifying their strengths limitations unique challenges posed by data. In doing so, we offer roadmap guide effective employment existing resources chart pathway for developing refining future systems.