Spatial data handling in big data era : select papers from the 17th IGU Spatial Data Handling Symposium 2016

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-t...

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Bibliographic Details
Corporate Author International Symposium on Spatial Data Handling Beijing, China
Other Authors Zhou, Chenghu (Editor), Su, Fenzhen (Editor), Harvey, Francis (Editor), Xu, Jun (Editor)
Format Electronic eBook
LanguageEnglish
Published Singapore : Springer, 2017.
SeriesAdvances in geographic information science.
Subjects
Online AccessFull text
ISBN9789811044243
9789811044236
ISSN1867-2434
Physical Description1 online resource (xiii, 237 pages) : illustrations

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Table of Contents:
  • 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.