Published in Multimedia Tools and Applications
Visualization plays a relevant role for discovering patterns in big sets of data. In fact, the most common way to help a human with a pattern interpretation is through a graphic. In 2D/3D virtual environments for procedural training the student interaction is more varied and complex than in traditional e-learning environments. Therefore, the visual...
The amount of information a human has to process continuously increases. In this regard, successful human performance depends on the ability of a human to perceive a system state as quickly and accurately as possible - ideally with a single glance. This becomes even more important in case several tasks have to be performed in parallel. It was shown...
Social networks have become an important channel for exchanging information and communication among citizens. Text mining, crowdsourcing and data visualization are some approaches that allow the information and knowledge extraction from texts in comment formats, exchanged between citizens in social networks. This movement can be indirectly used as ...
Time series are one of the most common types of recorded data in various scientific, industrial, and financial domains. Depending on the context, time series analysis are used for a variety of purposes: forecasting, estimation, classification, and trend and event detection. Thanks to the outstanding capabilities of human visual perception, visualiz...
While fixation distribution is conventionally visualized using heat maps, there is still a lack of a commonly accepted technique to visualize saccade distributions. Inspired by wind maps and the Oriented Line Integral Convolution (OLIC) technique, we visualize saccades by drawing ink droplets which follow the direction indicated by a flow direction...
Published in Open Geospatial Data, Software and Standards
OpenStreetMap and other Volunteered Geographic Information datasets have been explored in the last years, with the aim of understanding how their meaning is rendered, of assessing their quality, and of understanding the community-driven process that creates and maintains the data. Research mostly focuses either on the data themselves while ignoring...
Published in Environmental Science and Pollution Research
Agricultural ecological compensation has drawn an increasingly broad range of interest since early 1990s. In recent years, the volume of the literature grows rapidly. As a result, a systematic review of the diverse research field and its current trends becomes essential. This paper surveys the literature of agricultural ecological compensation betw...
For this demo, we will show two interactive visualiza-tions: Energy Futures and Pipeline Incidents. We designed and developed these visualizations as part of an open data initiative that aims to create interactive data visualizations to help make Canada's energy data publicly accessible, transparent, and understandable. This work was conducted in c...
Published in Iran Journal of Computer Science
Visualization of results is one of the central challenges in big data analytics and integrative text mining. With a growing amount of unstructured data and different perspectives on big data, knowledge graphs have difficulties to simultaneously represent and visualize all analyzed dimensions of knowledge. This paper proposes integrative text mining...
This paper reviews the many ways curves are used to encode data in information visualization. As part of our review, we introduce a curve-based visualization framework where data can be encoded in two major ways: i) through a curve’s shape (a process we call embedding) and ii) through a curve’s local visual attributes (a process we call enrichment)...
