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Spatial Information Theory

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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
Attention for Chapter 3: Modelling Spatial Structures
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Citations

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Chapter title
Modelling Spatial Structures
Chapter number 3
Book title
Spatial Information Theory
Published by
Springer, Cham, October 2015
DOI 10.1007/978-3-319-23374-1_3
Book ISBNs
978-3-31-923373-4, 978-3-31-923374-1
Authors

Franz-Benjamin Mocnik, Andrew U. Frank

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Researcher 2 25%
Student > Ph. D. Student 2 25%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 2 25%
Social Sciences 2 25%
Earth and Planetary Sciences 1 13%
Decision Sciences 1 13%
Engineering 1 13%
Other 0 0%
Unknown 1 13%