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Tag Archive 'Big Spatial Data'

This week you still have the chance to meet colleagues from HeiGIT team at CeBIT 2017 in Hannover.
We present Smart GeoServices for Smart Cities in Halle 7 at the Smart City Forum booth together with our colleagues from heidelberg mobil.

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in case you are this week not at CeBIT in the north of Germany, but rather at FOSSGIS in the south, you have the chance meet us also there and listen to several presentations on OSM work at HeiGIT and GIScience HD by our team member Martin Raifer.
The main talk will be on OSM-History-Analysis based [...]

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Crowd assisted sensing and crowdsourcing, as well as their underlying pervasive systems and communications are a fast growing research area and one of the enabling technologies of smart cities and smart infrastructures, as well as important building blocks in healthcare monitoring and vehicular technologies. Crowd assisted sensing (often called participatory sensing) opens new ways for [...]

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Last month GIScience Heidelberg (Prof. Zipf) participated in the First United Nations World Data Forum. This was a high level event including many organisations that generate and analyse data related to achieving the UN Sustainable Development Goals of the UN 2030 Agenda for Sustainable Development.
For this we need a huge amount of data about [...]

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Heidelberg University reports about some of the work of the GIScience research group and at the Heidelberg Institute for Geoinformation Technology (HeiGIT), which is currently being established and core funded by the Klaus Tschira Stiftung.
The short reports are available in English and in German. Enjoy!
Check some of the Online Services by GIScience & HeiGIT

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We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday about analysis of big spatial data from multiple sources (sensor data, social media). Dr. Jiaoyan Chen presents ways to improve results obtained with traditional data mining techniques for spatio-temporal prediction for a China smog use case.
Predictive Analytics and Knowledge Reasoning [...]

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