This web app serves city residents as an information and decision tool to help locate urban green spaces. In addition to the input of user preferences, in-depth information on all suitable green spaces is displayed and various route options (whether highly greened, shady or quiet) are offered. The application is currently available for two cities: Dresden and Heidelberg.
The IOER is participating in this ongoing joint project, which aims to further develop the interactive, dynamic and data-based planning tool GOAT for accessibility planning. Tomorrow’s mobility and spaces can be planned, designed and evaluated efficiently and effectively via a simple user interface.
With the help of local people, this ongoing citizen science project collects information on the buildings of Dresden via an open platform and makes it visible and usable in maps. Information is gathered on the age, structure, building materials and form of use. The project is part of the international Colouring Cities Research Programme (CCRP) of the Alan Turing Institute in London.
This platform supports work with open data in teaching and research by providing information on corresponding datasets and services, e-learning lectures and exercises as well as best-practice examples. In the spirit of data-driven science, a wide variety of data sources are fused and – using spatial data mining and visual analytics methods – analyzed and visualized.
This outcome of the project Zukunftsstadt Dresden provides information about the collected transformative knowledge as well as detailing how citizen-driven projects have been or can be implemented in cooperation with actors from science, the economy, local authorities and politicians: from visioning to concrete implementation.