
Geospatial Data in a Changing World
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Content
- Intro
- Preface
- Organizing Committee
- Scientific Programme Committee Chairs
- Local Organizing Committee
- Scientific Programme Committee
- Contents
- Part I Cognitive and Computational Aspects onSpatial Concepts
- A Computational Model for Context and Spatial Concepts
- 1 Introduction
- 2 State of the Art
- 2.1 (Spatial) Concepts
- 2.2 Context and Its Influence on Concepts
- 3 An Abstract Model for Context--Dependent Concepts
- 4 A Computational Model for Context-Dependent Concepts
- 5 Case Study: Mapping the Spatial Relation ``near'' onto Spatial Queries
- 5.1 The Case Study of ``near''
- 5.2 Examples for the Mapping of ``near'' onto Spatial Queries
- 6 Conclusions and Outlook
- References
- 2 Inferring Complex Geographical Concepts with Implicit Geometries Using Ontologies: A Case of Peninsulas
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Algorithmic Approach to Concept Inference
- 2.2 Ontology-Driven Spatial Data Interpretation
- 3 Method
- 3.1 Generic Algorithms to Detect Primitive Relations and Implicit Geometries
- 3.2 Formalizing Geographical Concepts with Description Logics
- 3.2.1 Reasoning with Description Logics
- 3.3 Concept Interpretation as Reasoning Over Knowledge Bases
- 4 Case Study: Interpreting Peninsulas from Spatial Databases
- 4.1 Setting the Scene
- 4.2 Initializing the Knowledge Base
- 4.2.1 Characterization of Peninsula Candidates
- 4.2.2 Refined Results
- 5 Main Findings and Outlook
- Acknowledgments
- References
- Question-Based Spatial Computing---A Case Study
- 1 Introduction
- 2 Question-Based Spatial Computing
- 3 Related Work
- 4 Core Concepts and Computations for Spatial Information
- 5 A Case Study from Economics
- 5.1 Solution with Procedural GIS
- 5.2 Solution Based on Spatial Questions
- 5.3 Implementation
- 5.4 Comparison and Discussion
- 6 Conclusions
- References
- 4 Measuring Space-Time Prism Similarity Through Temporal Profile Curves
- Abstract
- 1 Introduction
- 2 Space-Time Paths and Path Similarity
- 3 Analytical Space-Time Prisms
- 4 Measuring Space-Time Prism Similarity Using Temporal Profile Curves
- 5 Examples
- 6 Future Steps
- 7 Conclusion
- References
- Deriving the Geographic Footprint of Cognitive Regions
- 1 Introduction
- 2 Related Work
- 2.1 Place and Activities
- 2.2 Geographic Information Retrieval and Natural Language Processing
- 3 Deriving the Geographic Footprint of Cognitive Regions
- 3.1 Natural Language Preprocessing
- 3.2 Geographic Matching
- 3.3 Machine Learning
- 4 Evaluation
- 4.1 Experimental Results
- 4.2 Preliminary Evaluation
- 5 Conclusion and Future Work
- References
- Part II Crowdsourcing and Social Networks
- 6 Android-Based Multi-Criteria Evaluation Approach for Enhancing Public Participation for a Wind Farm Site Selection
- Abstract
- 1 Introduction
- 2 System Architecture
- 2.1 Client Design
- 2.2 Server Design
- 2.3 Geospatial Integration and Study Area
- 3 Wind Farm Siting: Implementation of an Android Spatial Decision Support Tool
- 3.1 User Interface
- 3.2 Voting and Decision Making Process
- 3.3 Calculation of Suitability Scores
- 4 Conclusions
- Acknowledgments
- References
- Presenting Citizen Engagement Opportunities Online: The Relevancy of Spatial Visualization
- 1 Introduction
- 2 Related Work
- 2.1 Participation and Geographic Information Systems
- 2.2 Spatial Dimension and Engagement
- 3 Presenting Engagement Opportunities Spatially
- 4 1000h for Münster
- 5 Results
- 5.1 Citizen Information Portal
- 5.2 Interactions Mosaic-View and Geo-Visualization
- 5.3 User Flow
- 6 Discussion
- 6.1 Limitations and Implications
- 7 Conclusions
- References
- 8 Spatial Data Relations as a Means to Enrich Species Observations from Crowdsourcing
- Abstract
- 1 Introduction
- 2 Differentiation of Relationships Between Species Observations
- 3 Determination and Application of Species Entity Relations
- 4 A Crowdsourcing Approach to Validate Species Entity Relations
- 5 Conclusion and Outlook
- Acknowledgments
- References
- 9 Cross-Linkage Between Mapillary Street Level Photos and OSM Edits
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Study Setup
- 3.1 Extraction of Mapillary Related OSM Events
- 3.2 Extraction of Mapillary and OSM Features from Across-Platform Users
- 4 Results
- 4.1 Contribution Patterns for Cross-Tagged OSM Features
- 4.1.1 Cross-Linkage Between OSM Event Types and Mapillary
- 4.1.2 Cross-Linkage for OSM Primary Features
- 4.1.3 OSM Activity Types Associated with Mapillary
- 4.2 Across-Platform User Contributions
- 5 Discussion and Conclusions
- References
- Geo-Privacy Beyond Coordinates
- 1 Introduction and Motivation
- 2 Related Work
- 3 Data and Semantic Signatures
- 4 Indicativeness of Digital Footprints
- 4.1 Spatial Indicativeness
- 4.2 Temporal Indicativeness
- 4.3 Thematic Indicativeness
- 5 Implementation: A Use Case
- 5.1 Thematic Content
- 5.2 Spatial Constraints
- 5.3 Spatial Change
- 5.4 Content Change
- 5.5 Temporal Baseline
- 5.6 A Combined Approach: Thematic and Temporal Bands
- 6 Conclusions and Future Work
- References
- Part III Analysis and Visualization of (Big) SpatialData
- Modelling Spatial Patterns of Outdoor Physical Activities Using Mobile Sports Tracking Application Data
- 1 Introduction
- 2 Related Research
- 3 Required Data
- 3.1 Mobile Sports Tracking Application Data
- 3.2 OpenStreetMap
- 3.3 European Urban Atlas Road Land-Use Data
- 4 Urban Space Network
- 4.1 Definition of an Urban Space Network
- 4.2 Dataset Integration
- 4.3 Validation
- 5 Space Usage
- 5.1 Filtering GPS Trajectories
- 5.2 GPS Track Snapping on an Urban Space Network
- 5.3 Value of Recreational Usage
- 6 Results
- 7 Discussion and Future Work
- 8 Conclusions
- References
- 12 Estimating the Biasing Effect of Behavioural Patterns on Mobile Fitness App Data by Density-Based Clustering
- Abstract
- 1 Introduction
- 2 Trajectory Similarity Analysis
- 2.1 Previous Research
- 2.2 Discovering Similarity Patterns in Mobile Fitness App Data
- 3 Dataset
- 4 Results and Analysis
- 4.1 Performance Evaluation
- 4.2 Identified Clusters
- 4.3 Effects on the Dataset
- 5 Discussion
- 6 Conclusions
- Acknowledgments
- References
- 13 Enhancing Exploratory Analysis by Summarizing Spatiotemporal Events Across Multiple Levels of Detail
- Abstract
- 1 Context and Motivation
- 2 Related Work
- 3 Granularity Theory
- 4 SUITE: A Framework for Summarizing Spatiotemporal Events
- 4.1 Abstracts
- 4.2 Properties of Abstracts Functions
- 4.3 Discussion
- 5 SUITE's Prototype
- 6 Conclusions and Future Work
- Acknowledgments
- Appendix
- References
- 14 Representation and Visualization of Imperfect Geohistorical Data About Natural Risks: A Qualitative Classification and Its Experimental Assessment
- Abstract
- 1 Introduction
- 2 Representation of Spatio-Temporal Data Imperfection
- 2.1 Classifications of Imperfection: A State of the Art
- 2.1.1 Extent of This State of the Art
- 2.1.2 A Review of Reviews
- 2.2 Synthesis of Imperfection Classifications
- 3 From the Qualitative Classification to Its Visualization
- 3.1 Inspiration from Previous Work
- 3.2 Quantification and Aggregation of Individual Imperfections
- 3.3 Proposal of Visualization Method
- 4 Evaluation of the Proposed Classification by Domain Experts
- 4.1 Objectives and Hypothesis
- 4.2 Experimental Design
- 4.2.1 Participants
- 4.2.2 Material and Method
- 4.3 Results
- 4.3.1 Exercise 1
- 4.3.2 Exercise 2
- 4.3.3 Practical Use in an Expert Context
- 4.3.4 Overall Opinions of Participants About the Classifications
- 5 Discussion and Outlook
- Acknowledgments
- References
- Part IV Pedestrian and Vehicle Mobilityin Smart Cities
- Conflict in Pedestrian Networks
- 1 Introduction
- 2 Related Work
- 2.1 Walkability Measurement
- 2.2 Collective Movement
- 2.3 Network Centrality
- 3 Method
- 3.1 Rotation Graph and Crossing Paths
- 3.2 Generalising Betweenness
- 4 Movement Data Analysis
- 4.1 The Case Study
- 4.2 Implementation
- 4.3 Results
- 5 Discussion
- 6 Future Work
- 7 Conclusion
- References
- 16 Personalizing Walkability: A Concept for Pedestrian Needs Profiling Based on Movement Trajectories
- Abstract
- 1 Motivation
- 2 Background
- 2.1 Empirical Research on Micro-Scale Walkability
- 2.2 Computing Personalized Suitability Values
- 3 Method
- 3.1 A Subjective Model of Walkability
- 3.2 Inferring a User Profile from Trajectory Data
- 3.3 Computing Personalized Walkability Maps for Routing
- 4 An Exemplary Application of the Method
- 5 Discussion and Conclusion
- References
- Learning On-Street Parking Maps from Position Information of Parked Vehicles
- 1 Motivation
- 2 Related Work
- 3 Methodology
- 3.1 Overview
- 3.2 Description of Required Data
- 3.3 Data Preprocessing
- 3.4 Feature Set Definitions
- 3.5 Learning the Parking Legality of Road Subsegments
- 4 Evaluation
- 4.1 Evaluation Approach
- 4.2 Results
- 5 Conclusion
- References
- Visualizing Location Uncertainty on Mobile Devices: Assessing Users' Perception and Preferences
- 1 Introduction
- 2 Related Work
- 3 Categorizing Options to Visualize Location Uncertainty
- 4 Comparison Study
- 4.1 Design
- 4.2 Participants
- 4.3 Materials
- 4.4 Procedure
- 4.5 Results
- 5 Discussion
- 6 Conclusions and Future Work
- References
- Part V Information Retrieval, Modelling andAnalysis
- Feature-Aware Surface Interpolation of Rooftops Using Low-Density Lidar Data for Photovoltaic Applications
- 1 Introduction
- 2 Related Work
- 3 Data
- 4 Method
- 5 Results
- 6 Implementation
- 7 Discussion
- 8 Conclusion
- References
- 20 Critical Situation Monitoring at Large Scale Events from Airborne Video Based Crowd Dynamics Analysis
- Abstract
- 1 Introduction
- 2 System Overview and Workflow
- 3 Airborne Crowd Monitoring
- 3.1 Video Analysis
- 3.2 Crowd Density Estimation
- 3.2.1 Workflow
- 3.2.2 Object Detection
- 3.2.3 Object Counting and Density Estimation
- 3.2.4 Results of Object Counting and Density Estimation
- 3.3 Ortho-Rectification
- 3.4 Crowd Behaviour Analysis
- 3.4.1 Turbulent Crowd Flows
- 3.4.2 "Pressure" in the Crowd
- 3.4.3 Method Employed
- 4 Data Management
- 5 System Demonstration
- 6 Conclusions and Outlook
- Acknowledgments
- References
- 21 Probabilistic Framework for Modelling the Evolution of Geomorphic Features in 10,000-Year Time Scale: The Eurajoki River Case
- Abstract
- 1 Introduction
- 2 Inputs for River Network Modelling
- 2.1 Eurajoki and Lapinjoki Rivers-Past and Present
- 2.2 Digital Elevation Model
- 2.3 Land Uplift Model
- 2.4 Combining Probabilistic DEM and Land Uplift Models to Obtain Realizations of Future Land Surface
- 3 River Network Modelling
- 4 Results
- 5 Discussion and Conclusions
- References
- 22 GeoPipes Using GeoMQTT
- Abstract
- 1 Introduction
- 2 Related Work
- 3 GeoPipes with GeoMQTT
- 3.1 Message Queue and Telemetry Transport (MQTT)
- 3.1.1 Addressing via Topics
- 3.1.2 MQTT Features
- 3.1.3 MQTT for Sensor Networks
- 3.2 GeoMQTT
- 3.2.1 Temporal and Spatial Filters
- 3.2.2 Extending the MQTT Protocol
- 3.2.3 Handling Conflicts Between MQTT and GeoMQTT
- 3.2.4 Extending the MQTT-SN Protocol
- 3.2.5 GeoMQTT Implementation
- 4 Applications
- 4.1 Closing the Interoperability Gap Between SWE Services
- 4.2 Further Applications
- 5 Conclusions and Future Work
- References
- Continuous Generalization of Administrative Boundaries Based on Compatible Triangulations
- 1 Introduction
- 2 Overall Algorithm
- 2.1 Preprocessing
- 2.2 Morphing a Polyline to Its Corresponding Polyline
- 2.3 Morphing a Polyline to Its Generated Corresponding Polyline During Fade-Out
- 2.4 Running Time Analysis
- 3 Case Study
- 4 Conclusions
- References
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