Computer Graphics & Visual Computing (CGVC) 2023
Permanent URI for this collection
Browse
Browsing Computer Graphics & Visual Computing (CGVC) 2023 by Author "Butcher, Peter W. S."
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item Crafting Visual Narratives: A Case Study on Developing an Engaging Visualisation Poster Using U.S. Immigration Data(The Eurographics Association, 2023) Ogbonda, Ebube Glory; Butcher, Peter W. S.; Roberts, Jonathan C.; Vangorp, Peter; Hunter, DavidThis paper presents a design study that elucidates the process of creating an engaging visualisation poster using U.S. immigration data as the focal point. The primary objective is to demonstrate the methodical journey of crafting a compelling story from raw data and effectively portraying it in a poster format. In the process, we manoeuvre through varied tactics of data display, visualisation tool implementation, and poster presentation. As a case study, we offer three important reflective insights that underscore our experience constructing such a poster, which is a practical guide for individuals pursuing similar endeavours. Key considerations underpinning this guide include prioritising a 'big hero' visualisation, ensuring a coherent narrative flow through the poster, and attentively curating the meta information to provide the necessary context, enabling the poster to communicate its message independently.Item Interweaving Data and Stories: A Case Study on Unveiling the Human Dimension of U.S. Refugee Movements through Narrative Visualisation(The Eurographics Association, 2023) Ogbonda, Ebube Glory; Roberts, Jonathan C.; Butcher, Peter W. S.; Vangorp, Peter; Hunter, DavidIn response to the escalating global refugee crisis, we present a case-study of developing an advanced tool for interpreting high-dimensional refugee data. Developed using Mapbox and D3.js, our interactive visualisation harmonises geographical and temporal dimensions of U.S. refugee data from the State Department's Refugee Processing Center. Our modular approach and robust data preprocessing enable seamless interactions among diverse visual components. The result is a narrative-driven visualisation that reveals broad immigration trends and individual refugee movements, fostering a nuanced and empathetic understanding of refugee dynamics. This work highlights the power of narrative visualisations in shaping policy decisions and promoting global discourse on the refugee crisis, marking a significant leap in data visualisation for refugee and immigration challenges.Item Less is more: Focused Design and Problem Framing in Visualisation - Developing the ColloCaid Collocation Editor(The Eurographics Association, 2023) Roberts, Jonathan C.; Butcher, Peter W. S.; Rees, Geraint; Lew, Robert; Sharma, Nirwan; Frankenberg-Garcia, Anna; Vangorp, Peter; Hunter, DavidOne of the challenges when developing a visualisation tool, especially at the start of a research project, is to amalgamate numerous requirements and various possibilities and decide what to create. With software development, it is too easy to incorporate all ideas, but quickly the tool becomes unusable, with feature overload. We reflect on designing and building the ColloCaid collocation visualisation editor, especially our conceptual focus on simplicity. We were inspired by Hemingway's iceberg theory of deliberate omission, to help frame the visualisation challenge and achieve clarity and focused design. The ColloCaid tool enables people to discover collocations, to help people improve vocabulary and fluency as they write. It was developed by a multidisciplinary team of applied linguists, lexicographers, human-computer interaction and visualisation experts. We promote focused design and problem solving, in visualisation, highlight concepts, including parti, design essence, and simplification. We provide a collection of insights that hold potential to evolve into a structured set of design guidelines, offering valuable direction to researchers.