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OpenStreetMap in GIScience

Overview of attention for book
Cover of 'OpenStreetMap in GIScience'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications
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    Chapter 2 Assessment of Logical Consistency in OpenStreetMap Based on the Spatial Similarity Concept
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    Chapter 3 Quality Assessment of the Contributed Land Use Information from OpenStreetMap Versus Authoritative Datasets
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    Chapter 4 Improving Volunteered Geographic Information Quality Using a Tag Recommender System: The Case of OpenStreetMap
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    Chapter 5 Inferring the Scale of OpenStreetMap Features
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    Chapter 6 Data Retrieval for Small Spatial Regions in OpenStreetMap
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    Chapter 7 The Impact of Society on Volunteered Geographic Information: The Case of OpenStreetMap
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    Chapter 8 Social and Political Dimensions of the OpenStreetMap Project: Towards a Critical Geographical Research Agenda
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    Chapter 9 Spatial Collaboration Networks of OpenStreetMap
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    Chapter 10 Route Choice Analysis of Urban Cycling Behaviors Using OpenStreetMap: Evidence from a British Urban Environment
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    Chapter 11 The Next Generation of Navigational Services Using OpenStreetMap Data: The Integration of Augmented Reality and Graph Databases
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    Chapter 12 Building a Multimodal Urban Network Model Using OpenStreetMap Data for the Analysis of Sustainable Accessibility
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    Chapter 13 Assessing OpenStreetMap as an Open Property Map
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    Chapter 14 Investigating the Potential of OpenStreetMap for Land Use/Land Cover Production: A Case Study for Continental Portugal
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    Chapter 15 Using Crowd-Sourced Data to Quantify the Complex Urban Fabric—OpenStreetMap and the Urban–Rural Index
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    Chapter 16 An Outlook for OpenStreetMap
Attention for Chapter 13: Assessing OpenStreetMap as an Open Property Map
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Chapter title
Assessing OpenStreetMap as an Open Property Map
Chapter number 13
Book title
OpenStreetMap in GIScience
Published by
Springer International Publishing, March 2015
DOI 10.1007/978-3-319-14280-7_13
Book ISBNs
978-3-31-914279-1, 978-3-31-914280-7

Mohsen Kalantari, Veha La


Jamal Jokar Arsanjani, Alexander Zipf, Peter Mooney, Marco Helbich

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 5%
Brazil 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 42%
Lecturer > Senior Lecturer 2 11%
Student > Master 2 11%
Student > Bachelor 2 11%
Other 1 5%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Engineering 5 26%
Computer Science 4 21%
Environmental Science 3 16%
Earth and Planetary Sciences 2 11%
Energy 1 5%
Other 1 5%
Unknown 3 16%