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חזור

חזור

סוג פרסום: 
מלות מפתח: 
עברית

A Conceptual Framework for Composite Indicator Visualization

תאריך: 
2017

Composite Indicators (CIs) are common measurements and benchmarking tools used to measure multi-dimensional concepts such as well-being and more. Indicators and sub-indicators are selected and combined to reflect a measured phenomenon in order to improve performance of different organizations (e.g., countries, cities, medical or educational organizations). Measurement iterations produce a series of time-oriented data which stakeholders, as well as the general public, might be interested in interpreting. Visualization of a CI is highly recommended, in order to ease interpretation and enhance better understanding of indicator components and their evolution over time. In recent years, a variety of techniques for visualizing CIs has been published. Indeed, visualizing a CI is a complex and challenging issue, involving many design choices which need to be made. Still, there is a lack in guidelines for CI visualizations design.

We suggest a framework that provides a systematic way of thinking of CI visualizations. The framework is intended for two forms of use: As a design tool when constructing a new CI visualization and as an analytic tool for systematically describing, comparing and evaluating CI visualizations. The suggested framework is the outcome of both a Top-Down process, based on CI construction and information visualization literature, and a Bottom-Up process in which 37 existing visualization applications of popular CIs were analyzed. We use Munzner's visualization analysis & design framework (Munzner 2014) in an adaptive way, considering the specific challenges and characteristics of CI visualizations, in order to develop and discuss a systematic view of the data, tasks and methods for visualizing CIs. We demonstrate how to use the framework with a full case study describing the popular OECD Better Life Index visualization tool.   

רישום בבליוגרפי: 
Albo, Y., Lanir, J., & Rafaeli, S., 2017. A Conceptual Framework for Visualizing Composite Indicators. Social Indicators Research, 1-30.‏