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Spatial Information Theory

Overview of attention for book
Cover of 'Spatial Information Theory'

Table of Contents

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    Book Overview
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    Chapter 1 Outline of a Formal Theory of Processes and Events, and Why GIScience Needs One
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    Chapter 2 Extracting Causal Rules from Spatio-Temporal Data
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    Chapter 3 Modelling Spatial Structures
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    Chapter 4 Strong Spatial Cognition
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    Chapter 5 A Conceptual Quality Framework for Volunteered Geographic Information
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    Chapter 6 A Coq-Based Axiomatization of Tarski’s Mereogeometry
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    Chapter 7 Shape Similarity Based on the Qualitative Spatial Reasoning Calculus eOPRAm
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    Chapter 8 From Metric to Topology: Determining Relations in Discrete Space
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    Chapter 9 Where Snow is a Landmark: Route Direction Elements in Alpine Contexts
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    Chapter 10 Spatial Natural Language Generation for Location Description in Photo Captions
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    Chapter 11 More Than a List: What Outdoor Free Listings of Landscape Categories Reveal About Commonsense Geographic Concepts and Memory Search Strategies
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    Chapter 12 Identifying the Geographical Scope of Prohibition Signs
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    Chapter 13 Conceptualizing Landscapes
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    Chapter 14 Citizen Science Land Cover Classification Based on Ground and Aerial Imagery
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    Chapter 15 Swiss Canton Regions: A Model for Complex Objects in Geographic Partitions
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    Chapter 16 Spatial Symmetry Driven Pruning Strategies for Efficient Declarative Spatial Reasoning
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    Chapter 17 Spatial Information Theory
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    Chapter 18 Spatial Information Theory
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    Chapter 19 Learning Spatial Models for Navigation
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    Chapter 20 Defensive Wayfinding: Incongruent Information in Route Following
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    Chapter 21 A Wayfinding Grammar Based on Reference System Transformations
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    Chapter 22 Quantifying the Significance of Semantic Landmarks in Familiar and Unfamiliar Environments
Overall attention for this book and its chapters
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Citations

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35 Mendeley
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Title
Spatial Information Theory
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-23374-1
ISBNs
978-3-31-923373-4, 978-3-31-923374-1
Editors

Sara Irina Fabrikant, Martin Raubal, Michela Bertolotto, Clare Davies, Scott Freundschuh, Scott Bell

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 3%
Student > Master 1 3%
Unknown 33 94%
Readers by discipline Count As %
Computer Science 1 3%
Design 1 3%
Unknown 33 94%