Sources of VGI for Mapping

While there is now a considerable variety of sources of Volunteered Geographic Information (VGI) available, discussion of this domain is often exemplified by and focused around OpenStreetMap (OSM). In a little over a decade OSM has become the leading example of VGI on the Internet. OSM is not just a crowdsourced spatial database of VGI; rather, it has grown to become a vast ecosystem of data, software systems and applications, tools, and Web-based information stores such as wikis. An increasing number of developers, industry actors, researchers and other end users are making use of OSM in their applications. OSM has been shown to compare favourably with other sources of spatial data in terms of data quality. In addition to this, a very large OSM community updates data within OSM on a regular basis. This chapter provides an introduction to and review of OSM and the ecosystem which has grown to support the mission of creating a free, editable map of the whole world. The chapter is especially meant for readers who have no or little knowledge about the range, maturity and complexity of the tools, services, applications and organisations working with OSM data. We provide examples of tools and services to access, edit, visualise and make quality assessments of OSM data. We also provide a number of examples of applications, such as some of those

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Review of OpenStreetMap Data

Mooney

Minghini²

2017

“…VGI is still a relatively new field of research; subsequently there is not a great deal of published knowledge or guidelines available on these issues in VGI. Although VGI tends to be associated with the collection and supply of explicitly geographic material, such as OSM (see Chapters 3 and 4 - Mooney and Minghini, 2017;Touya et al, 2017) or citizen science projects (see Chapters 1 and 2 - Foody et al, 2017;See et al, 2017), it is certainly not limited to this type of materials. As means of a short motivating example, we consider geotagged photographs.…”

Section: The Role Of the Citizen Within Privacy Legal And Ethical Ismentioning

confidence: 99%

Considerations of Privacy, Ethics and Legal Issues in Volunteered Geographic Information

Mooney

Olteanu‐Raimond

Touya

et al. 2017

Today almost any kind of User Generated Content (UGC) can be situated within a geographic context. Volunteered Geographic Information (VGI) can include many types of UGC, such as georeferenced photographs, social media and text, geographic data themselves, etc. There are legal, privacy and ethical issues raised by VGI, and at present these are not very well studied or understood despite the rise in popularity of VGI. This chapter will discuss, investigate and define some of the most prominent issues related to the legal, privacy and ethics topic within VGI. The chapter argues that these issues are not well understood by all of the actors in VGI, and in particular by the producers of this information as well as the users or consumers of this new data source. Creating a better understanding of these issues will be very important in the future development and evolution of VGI in society.

“…The nature of VGI datasets -see Chapter 2 by See et al (2017) and Chapter 3 by Mooney and Minghini (2017) -and their quality aspects play an important role in the choices regarding visualisation. Past research (Buttenfield and Beard, 1994;Buttenfield and Weibel, 1988;MacEachren, 1992;MacEachren, 1995) has proved that the selection of a visualisation method should be related to the quality element represented and the measure/indicator used.…”

Section: Vgi Data Qualitymentioning

confidence: 99%

Visualisation and Communication of VGI Quality

Skopeliti

Antoniou²,

Bandrova

2017

The flourishing of VGI projects has transformed the average web user into an eager geographic data user and contributor. As it is difficult for the crowd to perceive VGI quality, visualisation can play a critical role in communicating data quality. At the same time, although VGI quality has been a prominent research topic for scientists, quality visualisation has not been exploited to its full potential. Since the crowd encompasses a diverse pool of users, VGI quality visualisation caters for different needs and exhibits variable functionality, operating as an awareness tool for the novice user as well as an exploration tool for the expert user / scientist. The scope of this chapter is to present a framework for VGI quality visualisation that takes into account factors such as methods for quality visualisation of spatial data, the nature of VGI data quality, user profiles and the visualisation environment. In addition, a review of the available methods for data quality visualisation, which have emerged from cartography, is presented, and a number of guidelines for VGI quality visualisation are proposed, taking into account user characteristics.