Discrete global grid systems for spatio-temporal aggregation and visualisation

Abstract

Near-real-time data, time series data and other spatio-temporal event data are often subject to the need for cartographic visualisation sooner or later, regardless of their intended purpose of analysis. If a web visualisation is planned, data preparation is a challenging task, as a prototypical quick-and-dirty web presentation in the browser quickly reaches its performance limits with large amounts of data. Depending on the application, the raw data volumes can be huge. The provision of raw data via OGC web services also scales poorly with increasing data volumes. This is where aggregation or generalisation of the data becomes necessary. The talk aims to present an approach to grid aggregation that is as generic as possible, so that the transferability of this practical methodology to numerous other statistical use cases is conveyed. In particular, traffic data, movement data and sensor data can be elegantly visualised with little effort and prepared for further analysis applications.