Tailoring Data Visualization to Diversely Informed End Users

Autor: Jason Leigh, Nurit Kirshenbaum, Ryan Theriot, James Hutchison
Rok vydání: 2020
Předmět:
Zdroj: PEARC
DOI: 10.1145/3311790.3396630
Popis: Visualization is invaluable for communicating complex data, and it is becoming more important when researchers seek insights, or when they need to share their insights with end-users with diverse level of expertise such as policy-makers or the general public. In this paper, we detail how we approach this issue using the HAVEN and ProjecTable systems we developed. These systems share data of projected renewable energy supply based on several possible scenarios that should help Hawaii achieve 100% renewable energy by 2045. However, each system offers different features directed at end-users interested in different levels of detail. We describe here the two systems and their use, both separately and in conjunction.
Databáze: OpenAIRE