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Preface; Organizing Committee; General Chair; Program Chair; Organizing Committee; Program Committee; Contents; About the Editors; Data Intensive Geospatial Computing and Data Quality; 1 Using T-Drive and BerlinMod in Parallel SECONDO for Performance Evaluation of Geospatial Big Data Processing; Introduction; Related Work; Methodology; Datasets; T-Drive; BerlinMOD; Parallel Secondo; Hardware Computer System; Results and Discussions; T-Drive Performance; BerlinMOD Performance; Query 1; Query 2; Query 3; Query 4; Conclusions and Future Work; References

2 Integrated Geo-information Database for Geological Disposal of High-Level Radioactive Waste in ChinaIntroduction; Construction of Geo-information Model; Logic Design of Geo-information Model; Physical Design of Geo-information Model; Construction of an Integrated Geo-information Database; Development of Management System for Integrated Geo-information Database; Accomplishment of Metadata Management; Development of Management System; Conclusions; References; 3 Analyzing the Uncertainties of Ground Validation for Remote Sensing Land Cover Mapping in the Era of Big Geographic Data

IntroductionMethodology; Study Area and Test Data; Sampling Scheme; Reliability of Ground References; Accuracy Assessment; Results and Analysis; Overall Accuracy of the Land Cover Classification; Consistency of Reference Data; Discussion and Conclusions; Acknowledgements; References; 4 Error in Spatial Ecology (PVM); Introduction; Background; Descriptions, Depictions, or Diagrams; Collecting Data; Changing the Data Model; The Database Oriented Technique; Just How Bad Is an Area-Class Map of Forest Types?; Conclusion; References; Web and Crowd Sourcing Spatial Data Mining

5 A Framework for Event Information Extraction from Chinese News OnlineIntroduction; Related Work; Event Model; Definition of Event; Architecture of Events; System Framework; Overview; Data Retrieval; Document Preprocessing; Information Extraction; Natural Language Processing; Pattern Analysis; Knowledge Base; Experiment; Conclusion and Future Work; Acknowledgements; References; 6 Evaluating Neighborhood Environment and Utilitarian Walking Behavior with Big Data: A Case Study in Tokyo Metropolitan Area; Introduction; Methodology; Study Area; Measures of Neighborhood Environment

Residential DensityStreet Connectivity; Land Use Diversity; Bus Stop Density; Railway Stations Accessibility; Multi-criteria Evaluation Approach; Measures of Utilitarian Walking Behavior; Visualization with Standard 1 Km × 1 Km Mesh; Results; Evaluation Results of Five Criteria; Evaluation Results of Neighborhood Environment (Walkability); Evaluation Results of Utilitarian Walking Behavior; Comparison Between Walkability and Utilitarian Walking Time; Discussion; Conclusion; References; 7 A Space-Time GIS for Visualizing and Analyzing Clusters in Large Tracking Datasets; Introduction

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