Projects

A climate event portal for knowledge discovery

Partners: Bayerische Klimaforschungsnetzwerk (BayKlif): Prof. Dr. Annette Menzel, Technische Universität München, Prof. Dr. Dieter Kranzlmüller, Leibniz-Rechenzentrum, Prof. Dr. Susanne Jochner-Oette, Katholische Universität Eichstätt-Ingolstadt, Prof. Dr. Jörg Ewald, Hochschule Weihenstephan-Triesdorf, Prof. Dr. Wolfgang W. Weisser, Technische Universität München, Prof. Dr. Ulrike Ohl, Universität Augsburg, Prof. Dr. Arne Dittmer, Universität Regensburg, Prof. Dr. Henrike Rau, Ludwig-Maximilians-Universität München

Contact: Liqiu Meng, Andreas Divanis

The PhD or post doc researcher will be working with multidisciplinary teams in a Research Cluster on “Bavarian Synthesis Information Citizen Science Portal for Climate research and Scientific Communication” (BAYSICS - Bayerisches Synthese-Informations-Citizen Science Portal für Klimaforschung und Wissenschaftskommunikation).

Project webpage: www.bayklif.de/verbundprojekte/baysics/teilprojekt-3/

A Visual Computing Platform for the Industrial Innovation Environment in Yangtze River Delta

Partners: Jiangsu Industrial Technology Research Institute (JITRI), Yangtze River Delta Science Data Center, School of Geography - Nanjing Normal University

Contact: Chenyu Zuo, Linfang Ding

The aim of the joint project is to develop a visual computing platform dedicated to monitoring the dynamic innovation and investment ecosystem in Yangtze River Delta. The platform combines the power of intuitive human vision with that of analytical computing, thus serves as an enabler for users to explore the interactions between the regularly updated geo-infrastructure data and the continuously evolving geo-economic data, and to preview the complex influence factors of industrial innovation. The anticipated platform will be prototypically implemented with three extendable components – a geovisualization toolkit, a geospatial analytical computing toolkit and a geo-economic event collector. These components will be tailored to the needs and knowledge profiles of three target groups who are involved or interested in the innovation ecosystem in Yangtze River Delta – governmental agencies, industrial enterprises and investors.

Geospatial Information Services for Smart Cities Driven by Big Data

Partners: Yangtze River Delta Science Data Center, Changshu Fengfan Power Equipment Co., Ltd

Contact: Edyta Bogucka, Linfang Ding

Within this cooperation, Chair of Cartography TUM conducts a research on integrating multiple sources of geo-referenced urban data to derive valuable geospatial services for smart city applications. As a result, an open geo-collaborative portal with a set of interactive services will be developed. The portal will contain an interactive user interface, an extendable visualization toolkit and an analytical toolkit. The anticipated components will serve as descriptive, diagnostic, predictive and prescriptive tools for city management. The functionalities of the portal will be developed during the series of workshops and user tests with three target groups – urban citizens, domain experts and decision makers. Each target group will participate in the knowledge construction process in a two-fold role – as information receiver and data contributor.

Semantically Enriched and User Orientated Multi-Modal Navigation

Contact: Christian Murphy, Edyta Bogucka, Linfang Ding

The Federal Ministry of Transport and Digital Infrastructure (BMVI) leads a data-oriented R&D- funding programme for the period 2016 to 2020 in a form of the modernity fund (mFUND). Within this programme, Chair of Cartography TUM conducts a research on early developments of digital innovations in mobility. Ongoing project aims to show the added value of extending the existing traffic data with semantic information. The pre-study examines the possibilities of (1) the enrichment of the multimodal traffic database with semantic information to be gained from user behaviour data, Volunteered Geographic Information (VGI) and social media and (2) development of the user-oriented multimodal navigation service. As a result, a demo app version will be developed to present the following scenarios relevant for the urban and mobility design: multiscale representation of transportation nodes, automatic detection of the smombie danger and managing hotspots of negative events in the cities. Semantically enriched, multimodal and user-oriented navigation service will be evaluated in two test areas of Berlin and Munich.