Spatial data mining is the process of discovering interesting and previously unknown, but
potentially useful patterns from the spatial and spatiotemporal data. However, explosive …

One of the most scrutinized contemporary techniques for geospatial data collection and
production is crowdsourcing. This inverts the traditional top-down geospatial data production …

Crisis response is a time-sensitive problem with multiple concurrent and interacting
subprocesses, applied around the world in a wide range of contexts and with access to …

Microblogs, epitomized by Twitter in the West and Weibo in China, have attracted
considerable attention over the past few years. There have been a number of optimistic …

In this chapter we consider a number of ordinary differential equation models for diffusion of
innovation and epidemiological models. We discuss the classical theory on diffusion of …

The ONS Big Data Project was set up in January 2014 to investigate the potential of big data
and to understand what it means for official statistics. The potential of geolocated activity …

For many researchers, the rise of tremendously influential social media such as Twitter and
Facebook presents both challenges and opportunities. For example, a better understanding …