Tag: Big Data
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Clustering and Analyzing Air Pollution Data using Self-Organizing Maps
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…
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Deadline Extended: Special Issue “Big Data for Urban Informatics and Earth Observation” ISPRS Journal of Geo-Information
The Deadline for the special issue on “Big Data for Urban Informatics and Earth Observation” of the ISPRS Journal of Geo-Information has been extended by April 30, 2016. For further information, please contact the special issue guest-editors for further information. Dr. Jamal Jokar Arsanjani (GIScience Heidelberg) Prof. Ming-Hsiang (Ming) Tsou Guest Editors This Special Issue is…
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RICH-VGI workshop at 18th AGILE conference, Lisbon
Our AGILE workshop called RICH-VGI (enRICHment of volunteered geographic information (VGI): Techniques, practices and current state of knowledge) was held on June 9, 2015 in Lisbon as part of the 18th AGILE Conference on Geographic Information Science of the Association of Geographic Information Laboratories in Europe (AGILE) with comparatively a large number of participants. The…
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Exploiting Big VGI to Improve Routing and Navigation Services
Due to development of communication technologies, the amount of data, which each organization has to deal with, has been rapidly growing. The huge volumes of data appear as an opportunity to improve the performance and reliability of various applications, as such routing and navigation services can be named. However, the analysis of large datasets, commonly…