Back to Search
Start Over
Volunteered Geographic Information
- Publication Year :
- 2024
- Publisher :
- Cham: Springer Nature; Springer Nature Switzerland, 2024.
-
Abstract
- This open access book includes methods for retrieval, semantic representation, and analysis of Volunteered Geographic Information (VGI), geovisualization and user interactions related to VGI, and discusses selected topics in active participation, social context, and privacy awareness. It presents the results of the DFG-funded priority program "VGI: Interpretation, Visualization, and Social Computing" (2016-2023). The book includes three parts representing the principal research pillars within the program. Part I "Representation and Analysis of VGI" discusses recent approaches to enhance the representation and analysis of VGI. It includes semantic representation of VGI data in knowledge graphs; machine-learning approaches to VGI mining, completion, and enrichment as well as to the improvement of data quality and fitness for purpose. Part II "Geovisualization and User Interactions related to VGI" book explores geovisualizations and user interactions supporting the analysis and presentation of VGI data. When designing these visualizations and user interactions, the specific properties of VGI data, the knowledge and abilities of different target users, and technical viability of solutions need to be considered. Part III "Active Participation, Social Context and Privacy Awareness" of the book addresses the human impact associated with VGI. It includes chapters on the use of wearable sensors worn by volunteers to record their exposure to environmental stressors on their daily journeys, on the collective behavior of people using location-based social media and movement data from football matches, and on the motivation of volunteers who provide important support in information gathering, filtering and analysis of social media in disaster situations. The book is of interest to researchers and advanced professionals in geoinformation, cartography, visual analytics, data science and machine learning.
- Subjects :
- Spatio-temporal Systems
Geographical Information Systems
Social Media Systems
Data Privacy
Geovisualization
OpenStreetMap
Information Retrieval
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-031-35374-1
978-3-031-35373-4
3-031-35374-9
3-031-35373-0 - ISBNs :
- 9783031353741, 9783031353734, 3031353749, and 3031353730
- Database :
- OAPEN Library
- Notes :
- ONIX_20240313_9783031353741_4, , https://link.springer.com/978-3-031-35374-1, , Technische Universität Dresden
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.88291
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-3-031-35374-1