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Volunteered Geographic Information - Interpretation, Visualization and Social Context (1st ed. 2023)
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Volunteered Geographic Information - Interpretation, Visualization and Social Context (1st ed. 2023)
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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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Release date: |
October 2023 |
Editors: |
Dirk Burghardt
• Elena Demidova
• Daniel A. Keim
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Dimensions: |
235 x 155mm (L x W) |
Pages: |
302 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-135373-4 |
Categories: |
Books
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LSN: |
3-03-135373-0 |
Barcode: |
9783031353734 |
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