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Tag Archive 'Big Data'

The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large [...]

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The OpenStreetMap History Database (OSHDB) is the main data backend developed at HeiGIT for the ohsome OSM history analytics platform, that will make OSM’s history data more accessible for further analysis. OpenStreetMap (OSM) is a rich resource of freely available geographic information. However, the possibilities for analyzing OSM data on a global scale are limited because of [...]

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Currently Heidelberg University is establishing a PhD Research Training Group (RTG)
on “Big Data Research“ together with several Indian Universities and Indian Institutes of Technology (IIT) in the context of the HGS MathComp at the IWR (Interdisciplinary Center for Scientific Computing). Partners from India include Allhabad University, Delhi University (MoU pending), Jawaharlal Nehru University, IIT Guwahati, [...]

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Last week (Sept. 18-22, 2017), our six colleagues, Prof. Alexander Zipf, Doctoral Candidate Xuke Hu, Dr. Hongchao Fan, Dr. Martin Hämmerle, Dr. Zhiyong Wang, and Dr. Wei Huang, participated in the ISPRS Geospatial Week 2017 held in Wuhan, China.

In the opening ceremony on Sept. 18, 2017, the U.V. Helava Award was presented to [...]

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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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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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This Friday, Nov 4th, Alexander Zipf from GIScience Heidelberg will give a presentation at the WhereCamp 2016 conference in Berlin about some current activities and developments in the currently being established Heidelberg Institute for Geoinformatics (HeiGIT), core funded by the Klaus Tschira Foundation. This includes latest developments in Routing and Navigation solutions, such as OpenRouteService [...]

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recently the first few members of the Navigation Intelligence and Location Based Services group of the Heidelberg Institute for Geoinformation Technology (HeiGIT) - which is currently being established based on core funding from the Klaus-Tschira Foundation Heidelberg - moved into their new offices at Mathematikon Heidelberg. The group works on services like OpenRouteService and [...]

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A major project funded by the Klaus Tschira Foundation (KTS) Heidelberg is starting this July. The KTS will support the establishment of the “Heidelberg Institute for Geoinformation Technology” ( HeiGIT for short) within the Institute of Geography at Heidelberg University.
This new project aims at improving knowledge and technology transfer from fundamental research into practice [...]

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Today Enrico Steiger is presenting the following paper at AGILE 2016 conference Helsinki:
Lee, M., Steiger, E. Zipf, A. (2016): Clustering and Analyzing Air Pollution Data using Self-Organizing Maps. 19th AGILE Conference on Geographic Information Science. Helsinki, Finnland.
In Geographic Information Science the rise in the availability of spatial data paved ways for increased research in [...]

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