About: Collaborative mapping is a research topic. Over the lifetime, 246 publications have been published within this topic receiving 8835 citations. The topic is also known as: crowdsourced mapping.
TL;DR: In recent months, there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals as mentioned in this paper, and the role of the amateur in geographic observation has been discussed.
Abstract: In recent months there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals. Sites such as Wikimapia and OpenStreetMap are empowering citizens to create a global patchwork of geographic information, while Google Earth and other virtual globes are encouraging volunteers to develop inter- esting applications using their own data. I review this phenomenon, and examine associated issues: what drives people to do this, how accurate are the results, will they threaten individual privacy, and how can they augment more conventional sources? I compare this new phenomenon to more traditional citizen science and the role of the amateur in geographic observation.
TL;DR: Analysis of the quality of OpenStreetMap information focuses on London and England, since OSM started in London in August 2004 and therefore the study of these geographies provides the best understanding of the achievements and difficulties of VGI.
Abstract: Within the framework of Web 2.0 mapping applications, the most striking example of a geographical application is the OpenStreetMap (OSM) project. OSM aims to create a free digital map of the world and is implemented through the engagement of participants in a mode similar to software development in Open Source projects. The information is collected by many participants, collated on a central database, and distributed in multiple digital formats through the World Wide Web. This type of information was termed 'Volunteered Geographical Information' (VG!) by Goodchild, 2007. However, to date there has been no systematic analysis of the quality of VGI. This study aims to fill this gap by analysing OSM information. The examination focuses on analysis of its quality through a comparison with Ordnance Survey (OS) datasets. The analysis focuses on London and England, since OSM started in London in August 2004 and therefore the study of these geographies provides the best understanding of the achievements and difficulties of VGI. The analysis shows that OSM information can be fairly accurate: on average within about 6 m of the position recorded by the OS, and with approximately 80% overlap of motorway objects between the two datasets. In the space of four years, OSM has captured about 29% of the area of England, of which approximately 24% are digitised lines without a complete set of attributes. The paper concludes with a discussion of the implications of the findings to the study of VGI as well as suggesting future research directions.
TL;DR: This work demonstrates both a server and a hand-held device based implementation working with OpenStreetMap data that provide real-time and exact shortest path computation on continental sized networks with millions of street segments.
Abstract: Routing services on the web and on hand-held devices have become ubiquitous in the past couple of years. Websites like Bing or Google Maps allow users to find routes between arbitrary locations comfortably in no time. Likewise onboard navigation units belong to the off-the-shelf equipment of virtually any new car.The amount of volunteered spatial data of the OpenStreetMap project has increased rapidly in the past five years. In many areas, the data quality already matches that of commercial map data, if not outright surpass it.We demonstrate both a server and a hand-held device based implementation working with OpenStreetMap data. Both applications provide real-time and exact shortest path computation on continental sized networks with millions of street segments.We also demonstrate sophisticated real-time features like draggable routes and round-trip planning.
TL;DR: Results from field experiments conducted with a team of ground and aerial robots engaged in the collaborative mapping of an earthquake-damaged building that was damaged during the 2011 Tohoku earthquake are reported.
TL;DR: In this paper, the authors report results from field experiments conducted with a team of ground and aerial robots engaged in the collaborative mapping of an earthquake-damaged building, where the goal of the experimental exercise is the generation of three-dimensional maps that capture the layout of a multifloor environment.