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Preface; The Symposium Series, the Venue, and the Conference Program; Contents; 1 Introduction; 1 Concluding Comments; 2 The Nexus of Food, Energy, and Water Resources: Visions and Challenges in Spatial Computing; Abstract; 1 Introduction; 2 A Spatial Computing Vision; 2.1 FEW Observations; 2.2 FEW Data Management; 2.3 FEW Data Mining; 2.4 Decision Support; 2.5 FEW Data Visualization; 3 Spatial Computing Challenges; 3.1 FEW Observation Challenges; 3.2 FEW Data Management Challenges; 3.3 FEW Data-Mining Challenges; 3.4 FEW Decision Support Challenges; 3.5 FEW Data Visualization Challenges
4 SummaryAcknowledgements; References; 3 The Bird's-Eye View from a Worm's-Eye Perspective; Abstract; 1 Introduction; 2 Ups and Downs; 3 Ins and Outs; 4 Before and After; 5 Here and There; 6 Corners and Curves; 7 Conclusion; References; Spatial Data: Construction, Representation, and Visualization; High-Resolution Population Grids for the Entire Conterminous United States; 1 Introduction; 2 Data and Methods; 2.1 The Gen-1 Disaggregation Method; 2.2 The Gen-2 Disaggregation Method; 3 Results; 4 Conclusions; References
5 A Hybrid Dasymetric and Machine Learning Approach to High-Resolution Residential Electricity Consumption ModelingAbstract; 1 Introduction; 2 Related Work; 3 Methodology; 4 Application and Results; 4.1 Datasets; 4.2 Results and Discussion; 5 Conclusion; Acknowledgements; References; 6 Can Social Media Play a Role in the Development of Building Occupancy Curves?; Abstract; 1 Introduction; 2 Unit Occupancy; 3 Social Media Unit Occupancy; 4 Results; 5 A Model-Based Research Agenda; Acknowledgment; References
7 Application of Social Media Data to High-Resolution Mapping of a Special Event PopulationAbstract; 1 Introduction; 2 Methods and Results; 3 Discussion; Acknowledgements; References; 8 Animating Maps: Visual Analytics Meets GeoWeb 2.0; Abstract; 1 Introduction; 2 Literature Review; 3 System Design; 3.1 Mode of Operation; 3.1.1 Automatic Mode; 3.1.2 User Customization Mode; 3.2 System Architecture; 3.2.1 User Interface; 3.2.2 Server; 3.2.3 Map API; 3.2.4 Database; 4 Results; 5 Conclusion; References; 9 Atvis: A New Transit Visualization System; Abstract; 1 Introduction
2 Atvis Visualization Model2.1 Goals and Objectives; 2.2 Atvis Model Design; 3 An Atvis Visualization Demonstration Program; 3.1 Data Description; 3.2 Backend System; 3.3 The Frontend System; 3.4 Visualization Methodologies; 3.4.1 The Display Method; 3.4.2 The Arc Normalization Method; 3.4.3 The Arc Scaling Algorithm; 4 Discussion/Conclusion; References; 10 Mapping Spatiotemporal Patterns of Disabled People: The Case of the St. Jude's Storm Emergency; Abstract; 1 Introduction; 2 Data; 2.1 The Oyster Card System; 2.2 A Case Study; 2.3 Choosing Covariates; 2.3.1 Opportunities/Destinations
4 SummaryAcknowledgements; References; 3 The Bird's-Eye View from a Worm's-Eye Perspective; Abstract; 1 Introduction; 2 Ups and Downs; 3 Ins and Outs; 4 Before and After; 5 Here and There; 6 Corners and Curves; 7 Conclusion; References; Spatial Data: Construction, Representation, and Visualization; High-Resolution Population Grids for the Entire Conterminous United States; 1 Introduction; 2 Data and Methods; 2.1 The Gen-1 Disaggregation Method; 2.2 The Gen-2 Disaggregation Method; 3 Results; 4 Conclusions; References
5 A Hybrid Dasymetric and Machine Learning Approach to High-Resolution Residential Electricity Consumption ModelingAbstract; 1 Introduction; 2 Related Work; 3 Methodology; 4 Application and Results; 4.1 Datasets; 4.2 Results and Discussion; 5 Conclusion; Acknowledgements; References; 6 Can Social Media Play a Role in the Development of Building Occupancy Curves?; Abstract; 1 Introduction; 2 Unit Occupancy; 3 Social Media Unit Occupancy; 4 Results; 5 A Model-Based Research Agenda; Acknowledgment; References
7 Application of Social Media Data to High-Resolution Mapping of a Special Event PopulationAbstract; 1 Introduction; 2 Methods and Results; 3 Discussion; Acknowledgements; References; 8 Animating Maps: Visual Analytics Meets GeoWeb 2.0; Abstract; 1 Introduction; 2 Literature Review; 3 System Design; 3.1 Mode of Operation; 3.1.1 Automatic Mode; 3.1.2 User Customization Mode; 3.2 System Architecture; 3.2.1 User Interface; 3.2.2 Server; 3.2.3 Map API; 3.2.4 Database; 4 Results; 5 Conclusion; References; 9 Atvis: A New Transit Visualization System; Abstract; 1 Introduction
2 Atvis Visualization Model2.1 Goals and Objectives; 2.2 Atvis Model Design; 3 An Atvis Visualization Demonstration Program; 3.1 Data Description; 3.2 Backend System; 3.3 The Frontend System; 3.4 Visualization Methodologies; 3.4.1 The Display Method; 3.4.2 The Arc Normalization Method; 3.4.3 The Arc Scaling Algorithm; 4 Discussion/Conclusion; References; 10 Mapping Spatiotemporal Patterns of Disabled People: The Case of the St. Jude's Storm Emergency; Abstract; 1 Introduction; 2 Data; 2.1 The Oyster Card System; 2.2 A Case Study; 2.3 Choosing Covariates; 2.3.1 Opportunities/Destinations