The scientist’s investigation covers issues in Volunteered geographic information, World Wide Web, Cartography, Data mining and The Internet. His Volunteered geographic information research is multidisciplinary, relying on both Quality, Data quality, Field and Database. His study in World Wide Web is interdisciplinary in nature, drawing from both Variety and Usability.
His Cartography research integrates issues from Point of interest and Land use. His Data mining research includes elements of Social media, Ancillary data, Lidar and Point. In his study, Spatial contextual awareness, Multimedia, Location awareness and Exploit is inextricably linked to Location-based service, which falls within the broad field of The Internet.
His primary scientific interests are in Volunteered geographic information, Data science, World Wide Web, Data mining and Geospatial analysis. His Volunteered geographic information study improves the overall literature in Cartography. The concepts of his Data science study are interwoven with issues in Quality, Collaborative mapping, Spatial analysis and Information retrieval.
His studies in World Wide Web integrate themes in fields like Visualization and Location-based service. His Geospatial analysis study combines topics from a wide range of disciplines, such as Spatial data infrastructure and Database. His Web service research is multidisciplinary, relying on both Service and Geographic information system.
Alexander Zipf spends much of his time researching Data science, Volunteered geographic information, Artificial intelligence, Cartography and Health care. The study incorporates disciplines such as Quality, Association rule learning, Traffic conditions and Big data in addition to Data science. The various areas that Alexander Zipf examines in his Volunteered geographic information study include Latent Dirichlet allocation, Control and Coining.
His Artificial intelligence research integrates issues from Machine learning and Pattern recognition. His research integrates issues of Representation, Open data and Satellite imagery in his study of Cartography. His Health care study incorporates themes from Urbanization, Social issues and Interdependence.
His main research concerns Artificial intelligence, Data science, Deep learning, Volunteered geographic information and Human settlement. When carried out as part of a general Artificial intelligence research project, his work on Rule-based machine translation and Attribute grammar is frequently linked to work in Current and Type, therefore connecting diverse disciplines of study. His work in Data science covers topics such as Quality which are related to areas like Data model and Level of detail.
His study looks at the relationship between Deep learning and fields such as Humanitarian aid, as well as how they intersect with chemical problems. His study in Volunteered geographic information is interdisciplinary in nature, drawing from both Latent Dirichlet allocation, Social science and Coining. His Human settlement research incorporates themes from Crowdsourcing, Hierarchical clustering and Natural disaster.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007-2011
Pascal Neis;Dennis Zielstra;Alexander Zipf.
Future Internet (2011)
A Comparative Study of Proprietary Geodata and Volunteered Geographic Information for Germany
Dennis Zielstra;Alexander Zipf.
Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap
Pascal Neis;Alexander Zipf.
ISPRS international journal of geo-information (2012)
A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis
Christopher Barron;Pascal Neis;Alexander Zipf.
Transactions in Gis (2014)
Quality assessment for building footprints data on OpenStreetMap
Hongchao Fan;Alexander Zipf;Qing Fu;Pascal Neis.
International Journal of Geographical Information Science (2014)
A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management
João Porto de Albuquerque;Benjamin Herfort;Alexander Brenning;Alexander Zipf.
International Journal of Geographical Information Science (2015)
DEEP MAP: Challenging IT Research In The Framework Of A Tourist Information System
Rainer Malaka;Alexander Zipf.
User-Adaptive Maps for Location-Based Services (LBS) for Tourism.
information and communication technologies in tourism (2002)
Generating web-based 3D City Models from OpenStreetMap: The current situation in Germany
M. Over;Arne Schilling;S. Neubauer;Alexander Zipf.
Computers, Environment and Urban Systems (2010)
Intelligent systems for tourism
S. Stabb;H. Werther;F. Ricci;A. Zipf.
IEEE Intelligent Systems (2002)
Profile was last updated on December 6th, 2021.
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