Geographical Information Systems Theory, Applications and Management: 6th International Conference, GISTAM 2020, Prague, Czech Republic, May 7–9, ... in Computer and Information Science)

Preface
Organization
Contents
Spatial Information Technology: Past, Present, Future
	1 Introduction
	2 Decade Around 1970
		2.1 Technology
		2.2 Geographic Information Practice
		2.3 Research
		2.4 Software
	3 Decade Around 1980
		3.1 Technology
		3.2 Geographic Information Practice
		3.3 Research
		3.4 Data
		3.5 Software
	4 Decade Around 1990
		4.1 Technology
		4.2 Geographic Information Practice
		4.3 Research
		4.4 Data
		4.5 Software
	5 Decade Around 2000
		5.1 Technology
		5.2 Geographic Information Practice
		5.3 Research
		5.4 Data
		5.5 Software
	6 Decade Around 2010: The Present Situation
		6.1 Technology
		6.2 Geographic Information Practice
		6.3 Research
		6.4 Opening Up of Government Data
	7 What May Come: The Next Decade
		7.1 Technology
		7.2 Geographic Information Practice
		7.3 Research
		7.4 Data and Software
	8 Conclusion
		8.1 Enabling Technologies
		8.2 Innovative Companies
		8.3 It Takes Fifteen to Twenty Years from Research to Practice
	9 Coda
	References
Location Extraction from Twitter Messages Using a Bidirectional Long Short-Term Memory Neural Network with Conditional Random Field Model
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Model
		3.2 Features
	4 Experiments
		4.1 Dataset
		4.2 Pre-processing
		4.3 Model Training
		4.4 Feature Evaluation
	5 Conclusions
	References
Automatic Processing of Sentinel-2 Data for Monitoring Biodiversity in a User-Defined Area: An Example from Mount Kilimanjaro National Park
	1 Introduction
	2 Materials and Methods
		2.1 Study Area
		2.2 Sentinel-2 Data
		2.3 Vegetation Indices
	3 Results
	4 Discussions and Conclusions
	Appendix
	A1: Downloading Sentinel-2 Data
	A2: Vegetation Indices Calculated from 130 Sentinel-2 L2A Scenes for Our Study Area (“the Half-Mile Strip”).
	A3: Processing Sentinel-2 Data
	References
3D Urban Growth Simulation Using Human Settlement Capacity SLEUTH Model (HSCS)
	1 Introduction
		1.1 Urban Growth Modelling
		1.2 3D Urban Modelling
	2 Study Area
	3 Simulation Modelling and Methodology
	4 Urban Growth Simulation
		4.1 SLEUTH Model
		4.2 Building Type Classification
		4.3 Population Growth Estimation
		4.4 Urban Fabric Scenario
	5 3D Representation of Prospective Urban Growth Simulation
		5.1 Transform Pixels into Polygons
		5.2 Positioning the Building Footprints
		5.3 Building Footprints Configuration
		5.4 Building Footprints Generation
		5.5 3D City Visualization
	6 Conclusion
	References
Quality Assessment of Worldview-3 Stereo Imagery Derived Models Over Millennial Olive Groves
	1 Introduction
	2 Study Area
	3 Materials and Methods
		3.1 Data Acquisition and Specifications
		3.2 Data Processing and DSM Production
		3.3 GEOBIA Extraction of Olive Groves
		3.4 Model Vertical Accuracy Assessment
	4 Results and Discussion
		4.1 Created DSMs and Point Clouds of Study Area
		4.2 Selected Parameters and Classifier
		4.3 Vertical Accuracy of WV-3 DSM
	5 Conclusion
	References
Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling
	1 Introduction
		1.1 LULC Data Official Repositories in the EU
		1.2 Hierarchical vs. Object-Oriented LULC Classifications
		1.3 Opportunities for the SIOSE Database
	2 Extending the SIOSE Data Model
		2.1 Describing the SIOSE Usability Gap
		2.2 Proposed Design
		2.3 Example of Implementation
	3 Final Thoughts and Future Applications
	References
Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries
	1 Introduction
		1.1 A Collaboration for Analysing Data from an AFCS
		1.2 Objectives
	2 Proposed Framework
		2.1 GIS Database Schema
		2.2 MobilityFNC Definition
	3 Writing, Naming, and Sharing SQL Queries
		3.1 Do Tourists Prefer a Type of Fare?
		3.2 Sale of Single-Trip Tickets in the Most Touristic Cities
		3.3 What is the Difference in the Use of Public Transport Between a Summer and a Winter Week?
	4 Concluding Remarks and Future Work
	References
Geolocation Inference Using Twitter Data: A Case Study of COVID-19 in the Contiguous United States
	1 Introduction
	2 Related Works
	3 Structure of Twitter Data
	4 Proposed Method
		4.1 Data Collection
		4.2 Data Preprocessing
		4.3 Location Information Extraction
		4.4 Modelling
	5 Experimental Results
		5.1 Research Data
		5.2 Evaluation Metrics
		5.3 Results
	6 Conclusion
	References
Digital High-Scale Food Security Analysis: Challenges, Considerations and Opportunities
	1 Introduction
	2 Literature Review
	3 Procedures
	4 Results
		4.1 Prioritization of Data Layers
		4.2 Prioritization of Attributes
		4.3 Dimensions of Data Quality
	5 Opportunities for Development
		5.1 Practical Applications of Data Quality Research
		5.2 Standards-Based Approach to Database Development
	6 Conclusions
	References
Author Index