Abstract The social Internet of Things (SIoT) shares large amounts of data that are then
processed by other Internet of Thing (IoT) devices, which results in the generation …

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 …

Analysts need interactive speed for exploratory analysis, but big data systems are often
slow. With sampling, data systems can produce approximate answers fast enough for …

We introduce a conceptual model for scalability designed for visualization research. With
this model, we systematically analyze over 120 visualization publications from 1990 to 2020 …

Background In the era of information explosion, the use of the internet to assist with clinical
practice and diagnosis has become a cutting-edge area of research. The application of …

Visual query of spatiotemporal data is becoming an increasingly important function in visual
analytics applications. Various works have been presented for querying large …

Fire is one of the most frequent disasters that threaten public safety and ecological balance.
Heat maps have been used as a common visualisation method in many scientific fields but …

Spatial-temporal kernel density visualization (STKDV) has been extensively used in a wide
range of applications, eg, disease outbreak analysis, traffic accident hotspot detection, and …

The data visualization makes for analysts easier to perform the exploratory analysis and
research process. Unlike traditional data, other features mark the data in the Big Data …

Multiclass maps are scatterplots, multidimensional projections, or thematic geographic maps
where data points have a categorical attribute in addition to two quantitative attributes. This …