志愿者们可以被视为地理环境中的传感器，他们采集、整理并传播由个人自愿提供的地理数据。 协作制图是众包模式的一个特例。协作制图中的目标具有地域性，例如在城市规划中起到更积极的作用。特别是当数据、信息、知识分布在人群中，而将这些数据进行整合不现实时，协作制图可以作为一个数字规划平台，为当地的居民和活动带来益处。 Extensions of critical and participatory approaches to geographic information systems combines software tools with a joint activities to accomplish a community goal. Additionally, the aggregated data can be used for a Location-based service like available public transport options at the geolocation where a mobile device is currently used (GPS-sensor). The relevance for the user at a specific geolocation cannot be represented with logic value in general (relevant=true/false). The relevance can be represented with Fuzzy-Logic or a Fuzzy architectural spatial analysis.
Collaborative mapping applications vary depending on which feature the collaborative edition takes place: on the map itself (shared surface), or on overlays to the map. A very simple collaborative mapping application would just plot users' locations (social mapping or geosocial networking) or Wikipedia articles' locations (Placeopedia). Collaborative implies the possibility of edition by several distinct individuals so the term would tend to exclude applications where the maps are not meant for the general user to modify.
In this kind of application, the map itself is created collaboratively by sharing a common surface. For example, both OpenStreetMap and WikiMapia allow for the creation of single 'points of interest', as well as linear features and areas. Collaborative mapping and specifically surface sharing faces the same problems as revision control, namely concurrent access issues and versioning. In addition to these problems, collaborative maps must deal with the difficult issue of cluttering, due to the geometric constraints inherent in the media. One approach to this problem is using overlays, allowing to suitable use in consumer services. Despite these issues, collaborative mapping platforms such as OpenStreetMap can be considered as being as trustworthy as professionally produced maps
Overlays group together items on a map, allowing the user of the map to toggle the overlay's visibility and thus all items contained in the overlay. The application uses map tiles from a third-party (for example one of the mapping APIs) and adds its own collaboratively edited overlays to them, sometimes in a wiki fashion. If each user's revisions are contained in an overlay, the issue of revision control and cluttering can be mitigated. One example of this is the accessibility platform Accessadvisr, which utilises collaborative mapping to inform persons of accessibility issues, which is perceived to be as reliable and trustworthy as professional information.
Other overlays-based collaborative mapping tools follow a different approach and focus on user centered content creation and experience. There users enrich maps with their own points of interest and build kind of travel books for themselves. At the same time users can explore overlays of other users as collaborative extension.
Humanitarian OpenStreetMap Team, based on OpenStreetMap, provides collaborative mapping support for humanitarian objectives, e.g. collaborative transportation map, epidemiological mapping for Malaria, earthquake response, or typhoon response.
- Google Maps
- Wegovnow: a map based platform to engage the local civic society – local collaboration & publishing with maps
- Canvis.app - a platform that allows you to easily generate, customize, and share a collaborative mapping campaign. Suitable for large scale crowdsourcing projects.
If citizens or a community collects data, information (like Wikipedia, Wikiversity) then concerns come up about data quality, and specifically about its credibility. The same aspects of quality assurance are relevant for collaborative mapping and the possibility of vandalism.
Collaborative mapping is not restricted to the application of mobile devices but if data is captured with a mobile device the satellite navigation (like GPS is helpful to assign the current geolocation to the collected data at the geolocation. Open Source tools like Open Data Kit are used to collect the mapping data (e.g. about health care facilities or humanitarian operations) with a survey that could automatically insert the geolocation into the survey data that could include visual information (e.g. images, videos) and audio samples collected at the current geolocation. An image can be used e.g. as additional information of damage assessment after an earth quake.
- Category:Collaborative mapping
- Category:Virtual globes
- Category:Web mapping
- Comparison of commercial GPS software
- Comparison of web map services
- Participatory 3D modelling
- Participatory GIS
- Public participation GIS
- Virtual globe
- Volunteered geographic information
- Wikiversity:Collaborative mapping
- Wikiversity:Public-Private-Versioning for mapping products
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