The blooming trend of smart grid deployment is engaged by the evolution of the network
technology, as the connected environment offers various alternatives for electrical data …

Generating visualizations at the size of a word creates dense information representations
often called sparklines. The integration of word-sized graphics into text could avoid …

With the surge of data-driven analysis techniques, there is a rising demand for enhancing
the exploration of large high-dimensional data by enabling interactions for the joint analysis …

Urban forms at human-scale, ie, urban environments that individuals can sense (eg, sight,
smell, and touch) in their daily lives, can provide unprecedented insights on a variety of …

In interactive data analysis processes, the dialogue between the human and the computer is
the enabling mechanism that can lead to actionable observations about the phenomena …

Deep learning methods are being increasingly used for urban traffic prediction where
spatiotemporal traffic data is aggregated into sequentially organized matrices that are then …

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

Comparing multiple variables to select those that effectively characterize complex entities is
important in a wide variety of domains-geodemographics for example. Identifying variables …

Recent technological innovations have led to an increase in the availability of 3D urban
data, such as shadow, noise, solar potential, and earthquake simulations. These …

Geographical areal data usually presents hierarchical structures, and its characteristics vary
at different scales. At the higher scales, the visualization of geographical areal data is …