
Geospatial Technologies for Local and Regional Development
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This book includes the full research papers accepted by the scientific programme committee for the 22nd AGILE Conference on Geographic Information Science, held in June 2019 at Cyprus University of Technology, Limassol, Cyprus. It is intended primarily for professionals and researchers in geographic information science, as well as those in related fields in which geoinformation application plays a significant role.
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Content
- Intro
- Organizing Committee
- Scientific Programme Committee
- Local Organizing Committee (at the Cyprus University of Technology, Cyprus)
- Scientific Committee
- Preface
- Contents
- Geographic Information Representation, Retrieval and Visualization
- Place Questions and Human-Generated Answers: A Data Analysis Approach
- 1 Introduction
- 2 Literature Review
- 3 Data
- 4 Method
- 4.1 Semantic Encoding
- 4.2 Information Extraction
- 4.3 Question/Answer Analysis
- 4.4 Question/Answer Relationship
- 5 Results
- 5.1 Preliminary Analysis
- 5.2 Results of Question and Answer Analysis
- 5.3 Question/Answer Relationships
- 6 Discussion and Conclusions
- References
- Relaxing Unanswerable Geographic Questions Using A Spatially Explicit Knowledge Graph Embedding Model
- 1 Introduction
- 2 Related Work
- 3 Method
- 3.1 Modeling Geographic Entity Context in Knowledge Graphs
- 3.2 Spatially Explicit KG Embedding Model
- 3.3 KG Embedding Model Based Query Relaxation and Rewriting
- 4 Experiment
- 5 Conclusion
- References
- Evaluating the Effectiveness of Embeddings in Representing the Structure of Geospatial Ontologies
- 1 Introduction
- 2 Preliminaries and Related Work
- 2.1 Geographical Ontologies
- 2.2 Word Embeddings
- 2.3 Embeddings Evaluation
- 3 Task-Independent Metrics
- 3.1 Distance in the Ontology
- 3.2 Distance in the Hyperbolic Embedding
- 3.3 Evaluation Metric: Distortion
- 4 Case Study: A Knowledge-Driven Geolocation Algorithm
- 4.1 Sherloc
- 4.2 Evaluation Metrics
- 5 Experimental Results
- 5.1 Datasets
- 5.2 Task-Independent Evaluation
- 5.3 Task-Dependent Evaluation
- 6 Conclusions and Future Directions
- References
- Web-Based Visualization of Big Geospatial Vector Data
- 1 Introduction
- 2 Related Work
- 2.1 PostGIS
- 2.2 GeoServer
- 3 Our Approach
- 3.1 Storage
- 3.2 Tiling Approach
- 3.3 Visualization
- 4 Evaluation
- 4.1 Importing to the Storage
- 4.2 Tiling Process Measurement
- 4.3 Visualization and Flexible Tile Request
- 5 Conclusion
- 6 Future Work
- References
- Geoinformation Science and Geospatial Technologies in Transportation
- A Clustering-Based Framework for Understanding Individuals' Travel Mode Choice Behavior
- 1 Introduction
- 2 Related Work
- 2.1 Examining Individuals' Travel Mode Choice
- 2.2 Clustering Time Series Based on their Similarity
- 3 Data
- 4 Method
- 4.1 Constructing Features of Travel Mode Choice
- 4.2 Interpolating the Gaps
- 4.3 Measuring Individuals' Similarity Based on Autocorrelation
- 4.4 Clustering the Time Series
- 5 Results
- 5.1 Measuring the Similarity of Individuals
- 5.2 Detecting Travel Mode Choice Behavior Patterns
- 6 Conclusions and Future Work
- References
- Classification of Urban and Rural Routes Based on Motorcycle Riding Behaviour
- 1 Introduction
- 2 Sensors in Modern Motorcycles
- 3 Expectations from Sensor Readings
- 4 Test Setup and Test Implementation
- 5 Analysis of the Test Data
- 6 Discussion and Further Research Questions
- References
- Route Choice Decisions of E-bike Users: Analysis of GPS Tracking Data in the Netherlands
- 1 Introduction
- 2 Methodology
- 2.1 Data Collection
- 2.2 Choice Set Generation
- 2.3 Estimation Method
- 3 Results
- 3.1 Descriptive Analysis
- 3.2 Estimation Results
- 3.3 Discussions
- 4 Conclusions
- References
- Route Optimisation for Winter Maintenance
- 1 Introduction
- 2 Related Work
- 3 Problem Formulation
- 4 The Heuristic Algorithm
- 4.1 Phase One: Route Construction Algorithm
- 4.2 Phase Two: Simulated Annealing Heuristic
- 5 Implementation and Results
- 6 Conclusions
- References
- Geoinformation Science and Geospatial Technologies in Urban/Regional Planning
- Tracing Tourism Geographies with Google Trends: A Dutch Case Study
- 1 Introduction
- 2 Related Work: Search Interest and Tourism
- 2.1 Search Engine Data for Human Dynamics
- 2.2 Tourist (Over)Crowding and Big Data
- 2.3 Tourist Marketing and Spreading in Amsterdam
- 3 Interest Origin for the Netherlands and Amsterdam
- 3.1 Spatial Distribution of Interest Origin
- 3.2 Temporal Change in Interest and Hotel Visits
- 4 Spatial Analysis of Interest in Municipalities
- 4.1 Data Granularity and Comparability
- 4.2 Interest Between Municipalities
- 4.3 Interest Within Municipalities
- 5 Discussion and Conclusion
- References
- Estimating the Spatial Distribution of Vacant Houses Using Public Municipal Data
- 1 Introduction
- 2 Related Work
- 3 Study Objective
- 4 Field Survey
- 5 Development of Vacant House Database
- 6 Development of Estimation Method of Vacant House Distribution
- 6.1 Overview of the Method
- 6.2 Cell Splitting of Explanatory Variables
- 6.3 Development of Crosstab Tables
- 6.4 Deciding on the Number of Variables Used
- 6.5 Reliability Verification of the Estimation Result Using Random Sampling of Field Survey Results
- 7 Results
- 8 Conclusion and Future Work
- References
- Enhancing the Use of Population Statistics Derived from Mobile Phone Users by Considering Building-Use Dependent Purpose of Stay
- 1 Introduction
- 2 Advanced Use of Population Statistics Based on Mobile Phone Users
- 2.1 Mobile Spatial Statistics (MSS) Data
- 2.2 Key Concept for Linking Population Statistics
- 2.3 Estimation Method for Number of People by Each Building Use
- 2.4 Estimation Method for Number of People by Purpose of Stay
- 2.5 Estimation Method for Number of People by Building Use and Personal Attributes
- 3 Estimation Results for Number of People in an Urban Area
- 3.1 Details of Data Used in the Estimation
- 3.2 Validation of Model
- 3.3 Estimation Results for Number of People by Building Use and Purpose of Stay
- 3.4 Estimation Results for Number of People by Building Use and Personal Attributes
- 4 Summary and Conclusions
- References
- Potential of Crowdsourced Traces for Detecting Updates in Authoritative Geographic Data
- 1 Introduction
- 2 State of the Art
- 3 Data Matching for Identifying Missing Paths
- 3.1 Data Matching Approach
- 4 Decision Making
- 4.1 Definition of Criteria
- 4.2 Combination of Criteria
- 5 Experimentations and Evaluation
- 5.1 Datasets Description
- 5.2 Data Matching Results
- 5.3 Decision Making Results
- 6 Conclusion
- References
- A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighborhood Change: A Sequence Analysis Approach
- 1 Introduction
- 2 Data and Methods
- 2.1 Data
- 2.2 Methods
- 3 Results and Discussion
- 3.1 Temporal Clustering
- 3.2 Sequence Analysis
- 3.3 Sequences Clustering
- 4 Conclusion
- References
- Improving Business-as-Usual Scenarios in Land Change Modelling by Extending the Calibration Period and Integrating Demographic Data
- 1 Introduction
- 2 Materials and Methods
- 2.1 Context and Study Area
- 2.2 Data and Image Processing
- 2.3 Implemented Pattern-Based Model
- 3 A Classic Markovian BAU Scenario and Its Adjustments
- 3.1 Markovian BAU
- 3.2 BAU-a
- 3.3 BAU-b
- 3.4 Spatial Aspects
- 4 Discussion
- 5 Conclusion
- References
- Spatial Scale as a Common Thread in Geoinformation Analysis and Modeling
- Market Area Delineation for Airports to Predict the Spread of Infectious Disease
- 1 Research Background
- 2 Data and Methods
- 3 Analysis and Results
- 3.1 Circular Buffers
- 3.2 Drive-Time Buffers
- 3.3 Thiessen Polygons
- 3.4 Huff Model
- 4 Discussion and Conclusion
- References
- Reflective Practice: Lessons Learnt by Using Board Games as a Design Tool for Location-Based Games
- 1 Introduction
- 1.1 Board Games and the Design of Location-Based Games
- 1.2 Methodological Overview
- 2 Case Study 1: CrossCult PILOT 4-Designing Games for Serendipitous Urban Discovery and Personal Reflection
- 2.1 App Overview
- 2.2 Board Game Design Approach and Discussion
- 2.3 Lessons Learnt
- 3 Case Study 2, CityConqueror-Designing Games for Exploring Territoriality
- 3.1 App Overview
- 3.2 Design Approach and Discussion
- 3.3 Reflecting on the Design Process-Lessons Learnt
- 4 Reflective Discussion Constraints of Using Board Games of LBG Design
- 5 Conclusion
- References
- Agent-Based Simulation for Indoor Manufacturing Environments-Evaluating the Effects of Spatialization
- 1 Introduction
- 2 Relevant Literature
- 3 Approach
- 3.1 Model Concept
- 4 Experiment
- 5 Results
- 6 Discussion and Conclusion
- References
- User and Workforce Dimensions of Geospatial Technologies
- Towards a Usability Scale for Participatory GIS
- 1 Introduction
- 2 Usability, Web Design, and PGIS
- 2.1 Measuring Usability
- 2.2 Usability and Web Design
- 2.3 Usability of PGIS
- 3 SeaSketch, a Web Platform for Marine Spatial Planning
- 4 A Lean Usability Framework for PGIS
- 5 Design of the Participatory GIS Usability Scale (PGUS)
- 6 A Case Study on SeaSketch
- 7 Conclusion
- References
- Future Occupational Profiles in Earth Observation and Geoinformation-Scenarios Resulting from Changing Workflows
- 1 Introduction
- 2 EO4GEO Analysis of Demand for EO/GI Skills
- 3 Current Workflow of Remote Sensing Specialists
- 4 Technology Trends in the Earth Observation Sector
- 5 Scenarios for Future Occupational Profiles
- 6 Discussion and Conclusions
- References
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