OpenStreetMap in GIScience Experiences, Research, and Applications
This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap, the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigation...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2015, 2015
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| Edition: | 1st ed. 2015 |
| Series: | Lecture Notes in Geoinformation and Cartography
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications
- Assessment of logical consistency in OpenStreetMap based on the spatial similarity concept
- Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets
- Improving volunteered geographic information quality using a tag recommender system: The case of OpenStreetMap
- Inferring the Scale of OpenStreetMap Features
- Data retrieval for small spatial regions in OpenStreetMap
- The Impact of Society on Volunteered Geographic Information: The case of OpenStreetMap
- Social and political dimensions of the OpenStreetMap project: Towards a critical geographical research agenda
- Spatial Collaboration Networks of OpenStreetMap
- Route choice analysis of urban cycling behaviors using OpenStreetMap: Evidence from a British urban environment
- The Next Generation of Navigational Services using OpenStreetMap data: the Integration of Augmented Reality and Graph Databases
- Building a Multimodal Urban Network Model Using OpenStreetMap Data for the Analysis of Sustainable Accessibility
- Assessing OpenStreetMap as an Open Property Map
- Investigating the Potential of OpenStreetMap for Land Use/Land Cover Production: A Case Study for Continental Portugal
- Using Crowd-Sourced Data to Quantify the Complex Urban Fabric – OpenStreetMap and the Urban–Rural Index