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Full-Text Articles in Human Geography
Osm Science - The Academic Study Of The Openstreetmap Project, Data, Contributors, Community, And Applications, A. Yair Grinberger, Marco Minghini, Levente Juhasz, Godwin Yeboah, Peter Mooney
Osm Science - The Academic Study Of The Openstreetmap Project, Data, Contributors, Community, And Applications, A. Yair Grinberger, Marco Minghini, Levente Juhasz, Godwin Yeboah, Peter Mooney
GIS Center
This paper is an Editorial for the Special Issue titled “OpenStreetMap as a multidisciplinary nexus: perspectives, practices and procedures”. The Special Issue is largely based on the talks presented in the 2019 and 2020 editions of the Academic Track at the State of the Map conferences. As such, it represents the most pressing and relevant issues and topics considered by the academic community in relation to OpenStreetMap (OSM)—a global project and community aimed to create and maintain a free and editable database and map of the world. In this Editorial, we survey the papers included in the Special Issue, grouping …
Cartographic Vandalism In The Era Of Location-Based Games—The Case Of Openstreetmap And Pokémon Go, Levente Juhasz, Tessio Novack, Hartwig H. Hochmair, Sen Qiao
Cartographic Vandalism In The Era Of Location-Based Games—The Case Of Openstreetmap And Pokémon Go, Levente Juhasz, Tessio Novack, Hartwig H. Hochmair, Sen Qiao
GIS Center
User-generated map data is increasingly used by the technology industry for background mapping, navigation and beyond. An example is the integration of OpenStreetMap (OSM) data in widely-used smartphone and web applications, such as Pokémon GO (PGO), a popular augmented reality smartphone game. As a result of OSM’s increased popularity, the worldwide audience that uses OSM through external applications is directly exposed to malicious edits which represent cartographic vandalism. Multiple reports of obscene and anti-semitic vandalism in OSM have surfaced in popular media over the years. These negative news related to cartographic vandalism undermine the credibility of collaboratively generated maps. Similarly, …