E-Book, Englisch, 308 Seiten
Wenzhong / Wu / Stein Uncertainty Modelling and Quality Control for Spatial Data
Erscheinungsjahr 2015
ISBN: 978-1-4987-3334-2
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 308 Seiten
ISBN: 978-1-4987-3334-2
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The rapid developments in GIS such as data integration, representation, spatial data products, and new spatial data mining methods, are forcing users to deal with data of unknown or ambiguous quality; thus, unpredictable risk in decision making is inevitable. This book addresses some aspects of spatial data quality that have been very scarcely addressed, such as the assessment of quality of products resulting from multiple data sources and quality associated to multi-scale representations. In the era of big data, the mass volume of heterogeneous data and the proper use of the acquired geospatial data remains a significant challenge for GIS users and need to be imediarely investigated.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction. Uncertainty Modelling and Quality Control. Uncertainty Related Research Issues in Spatial Analysis; Spatial Statistical Solutions in Spatial Data Quality to Answer Agricultural Demands Based on Satellite Observations; Eliminating Systematic Error in Analytical Results of GIS Applications; Function Workflow Design for Geographic Information System: A Data Quality Perspective. Data Quality in Multi-Dimensional Integration. Data Quality in the Integration and Analysis of Data from Multiple Sources: Some Research Challenges; Quality Management of Reference Geo-Information; A New Approach of Imprecision Management in Qualitative Data Warehouse; Multi-Dimensional Quality Assessment of Photogrammetric and LiDAR Datesets Based on a Vector. Uncertainties in Multi-Scale Representation. General Analysis on Uncertainty of Multi-Scale Representation for Street-Block Settlement; Quality Assessment in River Network Generalisation by Preserving the Drainage Pattern. Quality Control for Spatial Products. Research on the Methods of Quality Inspection for Published Charts Based on Entity Rules and Cartographic Specifications; Quality Control of "DLG and Map" Product; VGI for Land Administration – A Quality Perspective; Quality Control Methods of Cluster-based Remote Sensing Image Processing; Automatic Deformation Inspection for Quality Improvement of Digital Aerial Imagery Based on Statistical Characteristics. Uncertainties in Spatial Data Mining. Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information about Risks of Geospatial Data Misuse; Uncertainty Management in Seismic Vulnerability Assessment Using Granular Computing Based on Neighborhood Systems; Study on Increasing the Accuracy of classification based on ant colony algorithm; epilogue.
