Thanks to technological advances in sensing technologies our urban environment is equipped with tiny but powerful sensors that generate a vast amount of data. This data is being used by companies, governments, and research institutions to monitor, analyze, and optimize our everyday life. Following the OpenData movement, this data is often available for the broader public. Even though “open”, the data and more precisely the insights hidden in the data are not “accessible” for most citizens, due to the data’s level of abstraction and complexity.
We therefore need to make data accessible and understandable for the public. In an attempt of fostering enablement and participation, we want to provide visualizations of urban data. In order to increase the engagement factor, we don’t want to use standard visualization methods which detach data from its origin, but take the data back to the field, where it comes from. By using methods of “Location based visual analytics” we want to help citizens understand their urban environment. Understand how the urban metabolism works and thereby enable an informed discussion for a better future.
Source: Citizen Science & Urban Planning