An Evaluation of a Visual Analytics Prototype for Calendar-Related Spatiotemporal Periodicity Detection and Analysis
Datos Bibliográficos
| ID | 14701289 |
|---|---|
| Autores | Brian Swedberg (Department of Geography / The Pennsylvania State University / University Park / PA / USA, autor de correspondencia), Donna J Peuquet (Pennsylvania State University), Donna Peuquet (Department of Geography / The Pennsylvania State University / University Park / PA / USA) |
| Año | 2017 |
| Volumen | 52 |
| Número | 1 |
| Páginas | 63-79 |
| Fecha de publicación | 2017-03-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Identificadores de la revista | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Editorial | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/cart.52.1.3820 |
| OpenAlex | W2594443006 |
| Idioma | EN |
| Referencias citadas | 23 |
Whether it is sunrise, the weekend, or Christmas, some form of temporal structure or periodic pattern governs our daily activities. Understanding them is essential to making sense of human activity, because they frame normality and allow us to identify abnormalities. However, cultural heterogeneity and scale greatly complicate our ability to uncover and understand human activity at a given time within a region. Current research in the field of visual analytics and geography provide methods of addressing spatiotemporal periodicity, but they fall short in providing access to multiple spatial and temporal scales via a relevant calendar. In response to these shortcomings, we developed PerSE (periodicity in spatiotemporal events), a coordinated-view Web application designed to aid users in the detection and analysis of calendar-related periodicity in spatiotemporal event data sets. Given the complexity of such a visualization tool, this paper focuses on the usability and learnability of PerSE. We evaluated the tool through a 20-participant study that consisted of training, a multiple-choice test, and the System Usability Scale. Our analysis of the results shows that the complex combination of visual tools and multi-scale, multi-calendar capability used within PerSE is effective, but still in need of usability improvements
Analytics · Cartography · Cultural Analytics · Data science · Event (particle physics · Field (mathematics · Frame (networking · Geography · Geovisualization · Human–computer interaction · Information visualization · Learnability · Scale (ratio · Semantic analytics · The Internet · Usability · Visual analytics · Visualization · World Wide Web · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Video Analysis and Summarization · Artificial Intelligence
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |