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| Author: David Borman | Publisher: Adams Media | Publication Date: December 18, 2018 | Number of Pages: 240 pages | Language: English | Binding: Hardcover | ISBN-10: 1507208170 | ISBN-13: 9781507208175
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Statistical analysis? Know what is statistical analysis, its types, descriptive vs inferential statistics and more about it from the experts of Assignment Prime.
Accounting Assignment Help
Statistical analysis? Know what is statistical analysis, its types, descriptive vs inferential statistics and more about it from the experts of Assignment Prime.
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The most commonly used spatial statistical tools are described in detail along with their applications in a range of disciplines, from crime analysis to habitat conservation. GIS users will learn how features are distributed, how to analyze the pattern created by the features, and how to determine the relationships between them. As the tools available through commercial GIS software have grown in sophistication, a need has emerged to instruct users on the best practices of true GIS analysis. In this sequel to the bestselling The ESRI Guide to GIS Analysis , author Andy Mitchell delves into the more advanced realm of spatial measurements and statistics. The premise of The ESRI Guide to GIS Analysis, Volume 2 , targets GIS technology as having been well used as a display and visualization medium but not so widely used as an implement for real analysis. Covering topics that range from identifying patterns and clusters, to analyzing geographic relationships, this book is a valuable resource for GIS users performing complex analysis. • Author: Andy Mitchell • ISBN:9781589481169 • Format:Paperback • Publication Date:2005-07-01
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This is the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August 2006 alongside the Conference on Pattern Recognition, ICPR 2006. 38 revised full papers and 61 revised poster papers are included, together with 4 invited papers covering image analysis, character recognition, bayesian networks, graph-based methods and more. • ISBN:9783540372363 • Format:Paperback • Publication Date:2006-09-01
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