OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data
OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire world. The level of detail of OSM data and its data quality vary much across different regions and domains. In order to analyse such variations it is often necessary to research the history and evolution of the...
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Main Authors: | , , , , , , , , , |
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Format: | Article (Journal) |
Language: | English |
Published: |
8 April 2019
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In: |
Open geospatial data, software and standards
Year: 2019, Volume: 4 |
ISSN: | 2363-7501 |
DOI: | 10.1186/s40965-019-0061-3 |
Online Access: | kostenfrei![]() |
Author Notes: | Martin Raifer, Rafael Troilo, Fabian Kowatsch, Michael Auer, Lukas Loos, Sabrina Marx, Katharina Przybill, Sascha Fendrich, Franz-Benjamin Mocnik and Alexander Zipf |
Summary: | OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire world. The level of detail of OSM data and its data quality vary much across different regions and domains. In order to analyse such variations it is often necessary to research the history and evolution of the OSM data. |
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Item Description: | Gesehen am 22.05.2019 |
Physical Description: | Online Resource |
ISSN: | 2363-7501 |
DOI: | 10.1186/s40965-019-0061-3 |