Desafíos en las técnicas de visualización de datos urbanos ambientales desde una perspectiva adaptativa: revisión sistemática

Abstract

Data visualization faces the challenge of transforming into a dynamic and adaptable component to overcome its static limitations, responding to changing contexts and specific user needs. This systematic review aims to analyze how data visualization techniques have advanced toward more dynamic and flexible approaches. Tools, methods, and frameworks were identified that integrate the concept of adaptability as a response to the lack of flexibility of these techniques. As a result of this review, 26 papers were identified that address the incorporation of the concept of adaptability into interaction and customization based on the user's context, with the aim of optimizing communication through visual representations. Therefore, the need to transform how data is displayed is highlighted, moving from a static representation to a dynamic and adaptable tool, capable of responding to changing contexts and user needs.