Mapping Parties at FOSS4G Europe: Fun, Outcomes and Lessons Learned
| Autor: | Irene Celino, Maria Antonia Brovelli, Haosheng Huang, Marco Brambilla, Vijaycharan Venkatachalam, Peter Mooney, Nicola Dorigatti, Ludovico Biagi, Marco Minghini, Eleonora Ciceri |
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| Přispěvatelé: | University of Zurich, Bordogna, Gloria, Carrara, Paola |
| Rok vydání: | 2017 |
| Předmět: |
Volunteered geographic information
Structure (mathematical logic) Geospatial analysis mapping party Computer science Event (computing) collaborative mapping OpenStreetMap Volunteered Geographic Information computer.software_genre indoor mapping Data science Collaborative mapping 10122 Institute of Geography emotional mapping Key (cryptography) collaborative mapping mapping party Volunteered Geographic Information OpenStreetMap indoor mapping emotional mapping 910 Geography & travel Host (network) computer |
| Zdroj: | Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation ISBN: 9783319708775 |
| DOI: | 10.1007/978-3-319-70878-2_1 |
| Popis: | Since OpenStreetMap (OSM) appeared more than ten years ago, new collaborative mapping approaches have emerged in different areas and have become important components of localised information and services based on localisation. There is now increased awareness of the importance of the space-time attributes of almost every event and phenomenon. Citizens now have endless possibilities to quickly geographically locate themselves with an accuracy previously thought impossible. Based on these societal drivers, we proposed a number of collaborative mapping experiments (“mapping parties”) to delegates of a large open-source geospatial conference and to citizens of the conference’s host city during July 2015. These mapping parties had a wide conceptual range from VGI (Volunteered Geographic Information) to geo-crowdsourcing (involuntary crowd-contributed geographic content). Specifically, the mapping parties were: (1) “traditional” OSM mapping, (2) indoor mapping and localisation, (3) emotional mapping of cities, (4) game-based validation of land cover data sets and (5) sensing the city and conference implicitly from Twitter. In this chapter, we outline the aims, structure and implementation of these experiments. We discuss the key outcomes and lessons learned from each of the mapping experiments in order to demonstrate the commonalities and also the differences between experiments. We consider future research directions for collaborative mapping approaches. |
| Databáze: | OpenAIRE |
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