Visualisation and Communication of VGI Quality

The most common way to use geographic information is to make maps. With the ever growing amount of Volunteered Geographic Information (VGI), we have the opportunity to make many maps, but only automatic cartography (generalisation, stylisation, text placement) can handle such an amount of data with very frequent updates. This chapter reviews the recent proposals to adapt the current techniques for automatic cartography to VGI as the source data, focusing on the production of topographic base maps. The review includes methods to assess quality and the level of detail, which is necessary to handle data heterogeneity. The paper also describes automatic techniques to generalise, harmonise and render VGI.

Section: Discussion and Guidelines For Using Vgi In Symbol Specificatmentioning

confidence: 99%

Production of Topographic Maps with VGI: Quality Management and Automation

Touya

Antoniou²,

Christophe

et al. 2017

“…The very evolution and changes over time to the OSM ecosystem can influence the quality of OSM data. Related to this theme, Chapter 9, by Skopeliti et al (2017), considers how quality in VGI can be visualised and communicated effectively, with significant research work having already been carried out on this topic using OSM as the case-study. As discussed earlier in this chapter, OSM has a very flexible and easy-to-understand approach to the contribution of new geographic data or editing of existing data in the OSM database.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Review of OpenStreetMap Data

Mooney

Minghini²

2017

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

“…For example, in Chapter 7, Fonte et al (2017) discuss VGI quality and review measures and indicators for this new breed of data. In Chapter 9, Skopeliti et al (2017) discuss best practices and methods for visualising VGI quality, while Chapter 10, by Minghini et al (2017), discusses best practices for data collection, including quality considerations. Finally, in Chapter 13, OlteanuRaimond et al (2017) examine the experience of European National Mapping Agencies (NMAs) with VGI data and discuss methods for obtaining contributions of high quality from volunteers.…”

Section: Spatial Data Quality Evaluation Proceduresmentioning

confidence: 99%

The Impact of the Contribution Micro-environment on Data Quality: The Case of OSM

Foody¹,

See²,

Fritz³

et al. 2017

OpenStreetMap (OSM) is the most successful example of Volunteered Geographic Information (VGI). It is also the most frequently used case study in research that focuses on VGI quality, as it is usually considered a proxy for other VGI projects. The research in this area usually focuses on comparisons with authoritative data, measurements and quality statistics. In other papers, scholars have explored quality frameworks or studied the motivation and engagement of volunteers. This chapter examines OSM quality from a different point of view. The focus here is on examining how the qualitative elements of the micro-environment within OSM, such as data specifications and the OSM editors, have evolved over time. We discuss how their evolution can affect OSM data quality, taking into account a number of different factors and dimensions that directly affect the quality of the contributions.