Smart Cities

Extract insight by visualising complex big data in an intuitive environment

Cities are generating more and data sets that describe their status and operation; everything from buildings to traffic lights to core services and waste management can be monitored. This vast data set contains the answers to better managing cities, saving costs and improving the environment, but it needs to be presented in such a way as to allow insights to be extracted and decisions to be easily made.With most Smart Cities data having a location associated with it (a particular building or a junction location for example), 3D maps are an ideal environment in which to present a visualisation of the data sets. The eeGeo Platform supports a wide range of visualisation options, from displaying a heatmap of aggregated data across the city (crime rates perhaps), to shading areas of the map according to data sources (average CO2 emissions of buildings perhaps) to color coding individual buildings or areas. Further, objects can be moved and animated within the map according to real time data – buses moving on the roads according to their actual position, traffic congestion shown by stacking up cars on the roads etc. Using the 3D map to display such complex data sets in an easy to assimilate and intuitive form allows users to easily identify issues and take decisions to address them. It also offers an easily accessible form for the presentation of data to stakeholders.