Organizations, as well as, the general public alike are in constant need of information about spatial phenomena and about processes driving change in their environment. In other words, they all demand up‐to‐date, or (near) real-time information, about virtually anything, anywhere, and anytime. The digital, mobile and sensor revolution has made such requirements practically feasible. Thus, nowadays, some of the data is collected on an ad hoc basis, or even 'by accident', at such a high frequency and volume, by both physical and human sensors, that data availability becomes less of an issue. What remains an issue is how to optimally convert the data into useful geoinformation and how to further process this information to generate knowledge.
Our mission is to provide optimal support for the provision of modern and fit-for-purpose (geo)information products and services that are useful in many different user contexts. The objective of the programme is to develop methods and techniques that process (organize, model, analyze, and visualize) spatiotemporal data into valuable and accessible geo-information, and tools that improve our understanding of complex and dynamic systems and helps in decision-making at a variety of spatial and temporal scales.