Each day, local authorities are collecting zillions of bytes of data and they urgently long whether those data can be useful in decision-making. The so-called big data are coming from various sources, such as from real-time sensors for air pollution, traffic management and energy management, video-surveillance, administrative forms, GIS 2D or 3D data, GPS tracks, aerial photos, videos from drones, etc., without forgetting crowdsourcing for VGI and public participation.
For local administrators and elected officials in smart cities, the optimal use of their big data is very important, since ICT must not be the only the main resource, but rather the overall core of their smart governance.
Various challenges are emerging: How to structure big data? How to combine them efficiently? How to query them? How to extract knowledge? How to extract salient features, determining patterns and trends? How to combine them with deep learning? How to visualize them? How to integrate them into urban dashboards? How to preserve privacy? What are the best strategies for storing them? Surely many other challenges will appear.
In this Special Issue, we are especially interested in original papers dealing with these aspects, and/or describing novel experiences, as well as enriching big data theories with geographic aspects.
Prof. Dr. Robert Laurini
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