Spatial Services


Geographic analysis of social-media data

In recent years, data from social networks such as Twitter has become a widely used basis for geospatial analysis in a number of application areas, including disaster management, public health and epidemiology, urban planning, traffic management, crime analysis and others. We can also add these spatial components to these social-media analyzes. This brings significant advantages to the analysis and helps our customers save money and gain a quick overview of the booming field of social-media.

Technically and methodologically up to date

While early research efforts focused on simple analysis using traditional methods, more recent research has developed more complex approaches, including self-learning systems such as artificial neural networks (ANN), semantic topic models for machine learning, or real-time analysis algorithms.

Due to the rapid development of social media analysis, the data analysis methods have become more robust and the results have become more reliable. Geosocial networks, in turn, are now recognized as a high-quality data source that supports the investigation of real problems and the subsequent decision-making. This development has been fueled by the dramatically increasing availability of social media posts around the world, especially in urban environments. As a result, we have seen extensive analytical efforts that examine urban processes with a remarkably high spatial and temporal resolution.