With the ubiquity of advanced web technologies and location-sensing hand held devices,
citizens regardless of their knowledge or expertise, are able to produce spatial information …

For decades, uncertainty visualisation has attracted attention in disciplines such as
cartography and geographic visualisation, scientific visualisation and information …

Visual analytics supports humans in generating knowledge from large and often complex
datasets. Evidence is collected, collated and cross-linked with our existing knowledge. In the …

This comprehensive and well-established cartography textbook covers the theory and the
practical applications of map design and the appropriate use of map elements. It explains …

Clear presentation of uncertainty is an exception rather than rule in media articles, data-
driven reports, and consumer applications, despite proposed techniques for communicating …

The analysis of large graphs plays a prominent role in various fields of research and is
relevant in many important application areas. Effective visual analysis of graphs requires …

Understanding and accounting for uncertainty is critical to effectively reasoning about
visualized data. However, evaluating the impact of an uncertainty visualization is complex …

This paper presents two linked empirical studies focused on uncertainty visualization. The
experiments are framed from two conceptual perspectives. First, a typology of uncertainty is …

The goal of visualization is to effectively and accurately communicate data. Visualization
research has often overlooked the errors and uncertainty which accompany the scientific …

Developing reliable methods for representing and managing information uncertainty
remains a persistent and relevant challenge to GIScience. Information uncertainty is an …