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Uncertainty modelling and quality control for spatial data
This book focused on major research relative to spatial information, and this book 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 multiscale data intehration to uncertainities in spatial data mining, this book lauches into areas that are rarely addressed. Topics covered include : - New developments of uncertainity modelling, quality control of spatial data, and related esearch issues in spatial analysis. - Spatial statistical solutions in spatial data quality. - eliminating systematic error in the annalytical results of GIS applications. - A data quaity perspective for GIS function work flow design. - Data quality in multidimensional integration. - Research challenges on data qua;ity in the integration and analysis of data from multiple sources. - A new approach for imprecision management in the qualitative data warehouse. - A multi-dimensional quality assessment of photogrammetric and LIDAR datasets based on a vector approach. - An analysis on the uncertainity of multiscale representation for street-block settlement.
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