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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

Wenzhong Shi




[PDF.lq56] Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

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 | #5249715 in Books |  2009-09-30 | Original language:English | PDF # 1 |  9.30 x1.10 x6.00l,1.70 | File type: PDF | 432 pages

|| ||Wenzhong Shi’s primary innovation is the integration of positional uncertainty and attribute uncertainty for both data and analysis. He presents case studies using common GIS techniques to demonstrate approaches that describe positional uncertainties in

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses outlines the founda...

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