A Docker-based spatial discourse ecosystem to support community engagement and public participation for landscape and urban planning projects.
We’re a group of enthusiasts from landscape and urban planning, data science and system engineering, who work on open collaboration and spatial knowledge discovery tools for application to the fields of public planning and citizen science. theplink.org is a staging area for demonstration of our tools such as thePlink-docker, an integrated spatial discourse ecosystem made for self-hosting. The P in thePlink may refer to Planning, Projects, People, or Participation; or Personal & Public Values, Perspectives; or Perception.
Social media has become a valuable source of data for urban planners to gather critical information. In the project, we propose to use analytical and mapping techniques to unearth the potentials of Location Based Social Networks (LBSNs) by extracting critical information for community design and planning in Waynesboro, VA.
Project Leadership UVA School of Architecture: Guoping Huang, Mona El Khafif Institute of Cartography, TU Dresden: Alexander Dunkel Waynesboro: Luke Juday
The aim of the project is the experimental development and testing of a novel infrastructure of services and the app “meinGrün” (myGreen), which leads to improved information on green spaces in cities.
Lead: Leibniz-Institut für ökologische Raumentwicklung e.V. (IÖR), Dresden
Partner: Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Oberpfaffenhofen, Institut für Kartographie (IFK), Technische Universität Dresden, Heidelberg Institute for Geoinformation Technology (HeiGIT), GIScience group, Universität Heidelberg, ISB Institut für Software-Entwicklung und EDV-Beratung AG, Karlsruhe, urbanista GmbH & Co. KG, Hamburg, Terra Concordia gUG, Berlin
Duration: 11/2018 - 04/2021
Link to the mFUND project (in German): https://www.bmvi.de/SharedDocs/DE/Artikel/DG/mfund-projekte/meingruen.html
Technische Universität Dresden, Helmholtzstr. 10, 01069 Dresden, Germany
This project was made possible with support from the US National Science Foundation S&CC grant # 1737581.
This work was supported by the German Research Foundation as part of the priority programme “Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” (VGIscience, priority programme 1894).
The research is supported by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) under the frame of mFUND, a research initiative funding R&D projects related to digital data-based applications for Mobility 4.0 (grant number 19F2073A).
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