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Crowdsourcing Geographic Knowledge

Overview of attention for book
Cover of 'Crowdsourcing Geographic Knowledge'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Volunteered Geographic Information, the Exaflood, and the Growing Digital Divide
  3. Altmetric Badge
    Chapter 2 Understanding the Value of VGI
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    Chapter 3 To Volunteer or to Contribute Locational Information? Towards Truth in Labeling for Crowdsourced Geographic Information
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    Chapter 4 Metadata Squared: Enhancing Its Usability for Volunteered Geographic Information and the GeoWeb
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    Chapter 5 Situating the Adoption of VGI by Government
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    Chapter 6 When Web 2.0 Meets Public Participation GIS (PPGIS): VGI and Spaces of Participatory Mapping in China
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    Chapter 7 Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation
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    Chapter 8 Volunteered Geographic Information and Computational Geography: New Perspectives
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    Chapter 9 The Evolution of Geo-Crowdsourcing: Bringing Volunteered Geographic Information to the Third Dimension
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    Chapter 10 From Volunteered Geographic Information to Volunteered Geographic Services
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    Chapter 11 Crowdsourcing Geographic Knowledge
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    Chapter 12 Inferring Thematic Places from Spatially Referenced Natural Language Descriptions
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    Chapter 13 “I Don’t Come from Anywhere”: Exploring the Role of the Geoweb and Volunteered Geographic Information in Rediscovering a Sense of Place in a Dispersed Aboriginal Community
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    Chapter 14 Potential Contributions and Challenges of VGI for Conventional Topographic Base-Mapping Programs
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    Chapter 15 “We Know Who You Are and We Know Where You Live”: A Research Agenda for Web Demographics
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    Chapter 16 Volunteered Geographic Information, Actor-Network Theory, and Severe-Storm Reports
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    Chapter 17 VGI as a Compilation Tool for Navigation Map Databases
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    Chapter 18 VGI and Public Health: Possibilities and Pitfalls
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    Chapter 19 VGI in Education: From K-12 to Graduate Studies
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    Chapter 20 Prospects for VGI Research and the Emerging Fourth Paradigm
Attention for Chapter 12: Inferring Thematic Places from Spatially Referenced Natural Language Descriptions
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Chapter title
Inferring Thematic Places from Spatially Referenced Natural Language Descriptions
Chapter number 12
Book title
Crowdsourcing Geographic Knowledge
Published by
Springer Netherlands, June 2012
DOI 10.1007/978-94-007-4587-2_12
Book ISBNs
978-9-40-074586-5, 978-9-40-074587-2
Authors

Benjamin Adams, Grant McKenzie

Editors

Daniel Sui, Sarah Elwood, Michael Goodchild

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Netherlands 1 2%
Portugal 1 2%
Australia 1 2%
Unknown 50 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 39%
Student > Master 12 21%
Researcher 6 11%
Student > Bachelor 3 5%
Lecturer 3 5%
Other 7 12%
Unknown 4 7%
Readers by discipline Count As %
Computer Science 18 32%
Earth and Planetary Sciences 15 26%
Environmental Science 7 12%
Social Sciences 6 11%
Engineering 4 7%
Other 1 2%
Unknown 6 11%