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Stefan Hahmann
Stefan Hahmann
TU Dresden - ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence)
Verified email at tu-dresden.de - Homepage
Title
Cited by
Cited by
Year
Measuring completeness of building footprints in OpenStreetMap over space and time
R Hecht, C Kunze, S Hahmann
ISPRS International Journal of Geo-Information 2 (4), 1066-1091, 2013
2392013
How much information is geospatially referenced? Networks and cognition
S Hahmann, D Burghardt
International Journal of Geographical Information Science 27 (6), 1171-1189, 2013
1392013
Twitter location (sometimes) matters: Exploring the relationship between georeferenced tweet content and nearby feature classes
S Hahmann, R Purves, D Burghardt
Journal of Spatial Information Science, 1-36, 2014
672014
Crowdsourcing for individual needs—The case of routing and navigation for mobility-impaired persons
A Zipf, A Mobasheri, A Rousell, S Hahmann
European handbook of crowdsourced geographic information, 325-337, 2016
412016
Uncertainties of completeness measures in OpenStreetMap–A case study for buildings in a medium-sized German city
T Törnros, H Dorn, S Hahmann, A Zipf
ISPRS annals of the photogrammetry, remote sensing and spatial information …, 2015
412015
Connecting linkedgeodata and geonames in the spatial semantic web
S Hahmann, D Burghardt
6th International GIScience Conference, 2010
342010
Routing through open spaces–a performance comparison of algorithms
S Hahmann, J Miksch, B Resch, J Lauer, A Zipf
Geo-spatial Information Science 21 (3), 247-256, 2018
312018
Extraction of landmarks from OpenStreetMap for use in navigational instructions
A Rousell, S Hahmann, M Bakillah, A Mobasheri
Proceedings of the AGILE Conference on Geographic Information Science …, 2015
312015
“80% of All Information is Geospatially Referenced”??? Towards a Research Framework: Using the Semantic Web for (In)Validating this Famous Geo Assertion
S Hahmann, D Burghardt, B Weber
14th AGILE International Conference on Geographic Information Science, 2011
272011
Deriving incline values for street networks from voluntarily collected GPS traces
S John, S Hahmann, A Rousell, MO Löwner, A Zipf
Cartography and Geographic Information Science 44 (2), 152-169, 2017
232017
Maple–a Web Map Service for verbal visualisation using tag clouds generated from map feature frequencies
S Hahmann, D Burghardt
Advances in Cartography and GIScience. Volume 1: Selection from ICC 2011 …, 2011
162011
Assessing the effects of forest fires on interconnected critical infrastructures under climate change. Evidence from South France
A Sfetsos, F Giroud, A Clemencau, V Varela, C Freissinet, J LeCroart, ...
Infrastructures 6 (2), 16, 2021
142021
Toward a collective tagging Android application for gathering accessibility-related geospatial data in European cities
M Bakillah, A Mobasheri, A Rousell, S Hahmann, J Jokar, SH Liang
Parameters 10, 21, 2014
132014
Community engagement strategies for crowdsourcing accessibility information: Paper, Wheelmap-Tags and Mapillary-Walks
C Voigt, S Dobner, M Ferri, S Hahmann, K Gareis
Computers Helping People with Special Needs: 15th International Conference …, 2016
92016
Zur Vollständigkeit des Gebäudedatenbestandes von OpenStreetMap
C Kunze, R Hecht, S Hahmann
Kartographische Nachrichten 63 (2/3), 73-81, 2013
82013
On the completeness of sidewalk information in OpenStreetMap, a case study of Germany
A Mobasheri, M Bakillah, A Rousell, S Hahmann, A Zipf
The 18th AGILE International Conference on Geographic Information Science 2, 2015
72015
LINKED DATA-A MULTIPLE REPRESENTATION DATABASE AT WEB SCALE?
S Hahmann, D Burghardt
13th ICA Workshop on Generalisation and Multiple Representation, 2010
72010
Forschungsergebnisse zur Frage: Haben 80% aller Informationen einen Raumbezug?
S Hahmann, D Burghardt
gis.SCIENCE - Die Zeitschrift für Geoinformatik 25 (3), 101-108, 2012
62012
A two-tiered approach to OSM data collection for novice users
A Rousell, S Hahmann, A Mobasheri
Proceedings of the 19th AGILE international conference on geographic …, 2016
52016
Automatisierte Generierung von Postleitzahlgebieten aus OpenStreetMap-Daten unter Verwendung von Open Source GIS Software
C Hauck
52011
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