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By: (Edited by) Alfred Stein , (Edited by) Bo Wu , (Edited by) Shi Wenzhong
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The rapid developments in GIS such as data integration and 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 covers aspects of spatial data quality that have been scarcely addressed. In the era of big data, the mass volume of heterogeneous data and the proper use of the acquired geospatial data remain a significant challenge for GIS users and need to be investigated.
Offers New Insight on Uncertainty Modelling
Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties—such as data of questionable quality—in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed.
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Uncertainty Modelling and Quality Control for Spatial Data
serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation, national or regional spatial data products, and new spatial data mining methods.Get Uncertainty Modelling and Quality Control for Spatial Data by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment
