Spatial information acquisition happens in large part through the visual sense. Studying
visual attention and its connection to cognitive processes has been the interest of many …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …

Both space and time are fundamental in human activities as well as in various physical
processes. Spatiotemporal analysis and modeling has long been a major concern of …

This paper introduces many objective robust decision making (MORDM). MORDM combines
concepts and methods from many objective evolutionary optimization and robust decision …

The visualization process doesn't happen in a vacuum; it is grounded in principles and
methodologies of design, cognition, perception, and human-computer-interaction that are …

Visualizing trajectory attribute data is challenging because it involves showing the
trajectories in their spatio-temporal context as well as the attribute values associated with the …

Visual exploration of maps often requires a contextual understanding at multiple scales and
locations. Multiview map layouts, which present a hierarchy of multiple views to reveal detail …

A Space-Time Cube enables analysts to clearly observe spatio-temporal features in
movement trajectory datasets in geovisualization. However, its general usability is impacted …

Geospatial big data present a new set of challenges and opportunities for cartographic
researchers in technical, methodological and artistic realms. New computational and …