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

معرفی کتاب «Geographical Information Systems Theory, Applications and Management: 6th International Conference, GISTAM 2020, Prague, Czech Republic, May 7–9, ... in Computer and Information Science)» نوشتهٔ Cédric Grueau (editor), Robert Laurini (editor), Lemonia Ragia (editor)، منتشرشده توسط نشر Springer International Publishing AG در سال 2021. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book constitutes selected, revised and extended papers of the 6th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2020, held in Prague, Czech Republic, May 2020. Due to the COVID-19 pandemic the conference was held online. The 9 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers are centered on urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS and location detection. 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
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