The second version of Open Data for Open Cities Agile Conference Workshop: The reuse of open data through spatial analysis.
Cities are the hubs of innovation driving the economic development of the world. According to the United Nations, one in every three people will live in cities by the year 2030. There is an urgent need to not only make cities more citizen-friendly but also sustainable.
The explosive growth of cities and the rapid expansion of broadband and data are intersecting at a time when the world faces serious challenges to achieving more sustainable development. Sensors and digital devices generate a huge amount of data from which cities and governments can create indicators and learn new knowledge. There are several data processing and analysis techniques to learn from that data and make our cities inclusive, safe, resilient and sustainable.
During this second edition of the open data for open cities workshop, we will discuss what open data means while focusing on how cities can improve the reuse of published data through analysis use cases. Using a case of study, we will make use of open data to develop a research question based on a current city challenge, describe the variables and their spatial relationships, calculate basic statistics, and present results clearly all be using open tools. By the end of the interactive hands-on session, participants will be able to make use of R to manage and visualize their data, including how to deal with missing data, variable groups, and graphs.
The pre-conference workshop will be held at the 21st AGILE International Conference on Geographic Information Science, Lund, 12 May 2017.
We invite all who want to be a part of a discussion on the real impact of Open Data in cities and the reuse of open data through spatial analysis to present their works, position papers, demos, or prototypes in our workshop.
This workshop is a part of the GEO-C ( Enabling Open Cities) project which is a joint European project between three universities; NOVA Information Management School in Portugal, Universitat Jaume I in Spain and the Institute for Geoinformatics in Munster, Germany.