Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
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 t
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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
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 t
64.99 In Stock
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

by Wenzhong Shi
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

by Wenzhong Shi

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Overview

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 t

Product Details

ISBN-13: 9781040070055
Publisher: CRC Press
Publication date: 09/30/2009
Sold by: Barnes & Noble
Format: eBook
Pages: 432
File size: 5 MB
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