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Jokar Arsanjani J, Vaz E c An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises. Int J Digit Earth 1— Future Internet — CrossRef. Trans GIS. Mooney P, Corcoran P, Ciepluch B The potential for using volunteered geographic information in pervasive health computing applications. Neis P Measuring the reliability of wheelchair user route planning based on volunteered geographic information.

Rylov M, Reimer A A comprehensive multi-criteria model for high cartographic quality point-feature label placement cartographica. Int J Geogr Inform Geovis, doi: In: Geoinformatik , Heidelberg. In: UDMS Ljubljana , Slovenia. Publisher Springer International Publishing.

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View Cart 0 Your Shopping Cart is empty. If you already have an account, sign in. However, they are of great importance in performing further in-depth analysis.

Spatial Collaboration Networks of OpenStreetMap - VGI Knowledge Portal

For instance, the dominant land cover types in Canada and Australia should be excluded in considering the size of the country as apart from land cover there are no objects to be mapped and the contributed nodes have very likely occurred within urban areas. Nonetheless, focusing on count gives an overall indication that the high number of node creation is not limited to European countries, but other countries are also emerging in OSM.

Amongst these emerging countries, north America including USA and Canada, south American countries particularly Brazil, Australia, and some Asian and African countries can be named, which calls for further studies in these regions to find out how actively and accurately mapping in OSM is being undertaken. In terms of number of created nodes, in total over 46 million nodes were created in this month.

In a number of countries, no nodes were created. In terms of total active members, i. In order to normalize the number of active members, the average number of active members per day in October is divided by the total population of the countries in terms of millions of people in Figure 6 shows the average number of active members per day for October per million people.


This map helps to detect the countries that have a large portion of their population involved in the mapping process in OSM. Italy, the Netherlands, Kuwait, Croatia, and Liberia were at the top of the list. On the contrary, a number of Asian and African countries have a very minor proportion of their population involved in mapping. This confirms the empirical findings that only a small portion of the population is mapping.

It is worth mentioning that this finding is based on our analysis within the chosen timeframe for sharing general impressions about OSM and activities in OSM certainly also has a temporal pattern, which is an important indicator to be considered. Figure 6: A world map of average number of active members to population million in October It is interesting to note that contrary to Germany as an active country in OSM, some other countries are emerging in OSM and there are still large gaps in the OSM data from these countries.

However, this can be viewed positively. Information dissemination about OSM within the last few years has promoted additional people to become members of OSM. Slowly but surely OSM is gaining popularity in these countries. Perhaps OpenStreetMap is helping address the participation inequality that is strongly represented in many types of User- Generated Content on the Internet today.

However, these map visualizations indicate that OpenStreetMap is reaching into countries and regions which heretofore would have felt the consequences of the digital divide Graham et al. Research will need to be undertaken to gain a better understanding of the social processes involved in these changes. The book seeks to build a firm foundation for research work focused on integrating OSM. Chapters will address the following research topics: a State-of-the-art and cutting-edge approaches for data quality analysis in OSM and VGI.

We expect that this book will deliver significant scientific outcomes, which will further stimulate international research networking and collaboration. As outlined above, the inherent cross-disciplinary essence of OSM research combined with the emerging data quality, data mining, and patterns determination approaches to analysis of OSM means that contributing scholars for this book will be expected to have a diverse academic background not limited to geographic information science, cartography, computer science, statistics, and sociology.

We feel that these trans- and inter-disciplinary contributions permit a deeper understanding of how the OSM project works and has become the phenomenal success that it is today. Last, but not least, the book will strive to bring OSM into the core of GIScience where the diverse worlds of new and classical geography and cartography will meet. This collection of chapters is highly relevant for, but not limited to, the following potential audience and readership: researchers, postgraduates, and professionals. The high response to our call for chapters shows that the intention of this book to be widely announced has been fulfilled.

By the end of January , a total of 34 chapter proposals were submitted and after an internal review by the editors, 30 authors of those originally 34 submitted chapter proposals were invited to submit a full chapter manuscript. After the final chapter submission deadline on 30 May , a total of 29 manuscripts were submitted. Thereafter, each of the 29 chapter manuscripts was evaluated through a double-blind review process by at least two or three international experts in the respective field. For the review process, the standard Springer review guidelines were applied.

Besides the innovative aspect of the research, the scientific quality of the research weighted heavily on the decision as to whether or not a manuscript was accepted or rejected. After two rounds of reviews conducted by international experts, the editors made the decision on whether or not the manuscript was fit for publication. In October , 14 chapters were accepted and along with one introductory chapter and one conclusive chapter are now included in the present book.

The present volume has the following four sections: 1 Data management and quality, 2 Social context, 3 Network modeling and routing, and 4 Land management and Urban form.

However, this structure should not be understood as fixed and definitive. Quite the contrary, the boundaries between these sections are partly fuzzy and overlap each other to some extent. Section 1 on Data Management and Quality includes five chapters. In Chapter 2, Peyman Hashemi and Rahim Ali Abbaspour propose an approach for assessing the logical consistency in OSM based on the concept of spatial similarity in multi- representation considering three elements, i.

Jokar Arsanjani et al. Their empirical findings suggest OSM to be alternative complementary source for extracting LU information with over half of the selected cities mapped by mappers. The findings strengthen the potential of collaboratively collected LU features for providing temporal LU maps as well as updating or enriching existing inventories. Chapter 4 by Arnaud Vandecasteele and Rodolphe Devillers proposes an approach for both improving the semantic quality and reducing the semantic heterogeneity of VGI datasets through implementing a tag recommender system, called OSMantic plugin, that automatically suggests relevant tags to contributors during the editing process.

Their approach helps contributors find the most appropriate tags for a given object, hence reducing the overall dataset semantic heterogeneity. Their first approach is based on a multi-criteria decision making model, with a rationalist approach for defining and parameterizing the respective criteria, yielding five broad Level of Detail classes. Their second approach attempts to identify a single metric from an analysis process, which is then used to interpolate a scale equivalence.

Both approaches are combined and tested against well-known CORINE data, resulting in an improvement of the scale inference process. The chapter closes with a presentation of the most pressing open problems. In Chapter 6, Roland M. Olbricht investigates what design choices are required to be able to answer almost any geographic query whilst serving common use cases fast enough such that the services based on this database are fast on affordable and standard sized hardware.

OpenStreetMap: The map that saves lives - CNBC International

He evaluates the usage patterns from the main instance of Overpass API on overpass-api. Section 2 deals with Social Context and comprises of three chapters. In Chapter 7, Afra Mashhadi et al. They measure the positional and thematic accuracy as well as the completeness of OSM data and quantify the role of society on the state of this digital production and finally quantify the effect of social engagement as a method of intervention for improving user participation. Georg Glasze and Chris Perkins frame a research agenda in Chapter 8that draws upon critical cartography, but widens the scope of analysis to the assemblages of practices, actors, technologies, and norms at work: an agenda which is inspired by the critical GIS literature, to take the specific social contexts and effects of technologies into account, but which deploys a processual view of mapping.

In Chapter 9, Klaus Stein et al. Finally, they discuss the advantages of their approach by demonstrating an analysis of collaboration on OSM sample data. Section 3 deals with Network modeling and routing and includes three chapters. They suggest that OSM can provide a robust transportation network for cycling research, in particular when combined with GPS track data, and conclude that network restrictions for both observed and shortest paths are significant, suggesting that route directness is an important factor to be considered for restricted and unrestricted networks.

Chapter 11 by Pouria Amirian et al. The application provides users with several navigation services with navigational instructions through standard textual and cartographic interfaces and also through augmented images showing way-finding objects.

Dr. Peter Mooney

Jorge Gil presents the process of building a multi-modal urban network model using OSM data in Chapter He develops various algorithmic procedures to produce the network model, supporting the reproducibility of the process and addressing the challenges of using OSM data for this purpose and addresses the great potential of OSM for urban analysis, thanks to the detail of its attributes and its open and universal coverage.

Land management and urban form is the focus of the final section 4, comprising of three chapters. Chapter 13 by Mohsen Kalantari and Veha La provides an assessment of OSM as a crowdsourcing system in collecting and recording land tenure information using a case study in Victoria, Australia. Their chapter studies the completeness of the public property records in OSM, and the location, shape, area and description of the existing records, and finally discusses the potential of OSM as an Open Property Map.