Urban data is massive, heterogeneous, and spatio-temporal, posing a substantial challenge
for visualization and analysis. In this paper, we design and implement a novel visual …

Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

Understanding co-occurrence in urban human mobility (ie people from two regions visit an
urban place during the same time span) is of great value in a variety of applications, such as …

Numerous systems have been developed to display large collections of data for urban
contexts; however, most have focused on layering of single dimensions of data and manual …

We present a method for automatically identifying and validating predictive relationships
between the visual appearance of a city and its non-visual attributes (eg crime statistics …

Here, we introduce TwitterHitter, an application that leverages GIScience and information
visualization techniques to harvest spatiotemporal insights from microblogging generally …

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 …

Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

While cities around the world are looking for smart ways to use new advances in data
collection, management, and analysis to address their problems, the complex nature of …