# Understanding Least Squares Estimation and Geomatics Data Analysis

117,60€

Ebook, ePUB with Adobe DRM
ISBN: 9781119501442
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Printing 216 pages with an additional page accrued every 4 hours, capped at 216 pages 5 excerpts

Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs

Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section.

Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and pre-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more.

• Contains ample concepts/theory and content, as well as practical and workable examples
• Based on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments courses
• Provides geomatics undergraduates and geomatics professionals with required foundational knowledge
• An excellent companion to Precision Surveying: The Principles and Geomatics Practice

Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics.

Keywords:

geomatics; geomatics surveying; geomatics for precision surveying; least squares; least squares estimation; data analysis; geomatics data analysis; adjustment computations: spatial data analysis; precision surveying; deformation analysis; geomatics engineering; guide to geomatics data analysis; understanding geomatics; understanding least square estimation; guide to least square estimation; data analysis techniques; data analysis strategies; information processing; applied data analysis; least squares adjustment models; parametric least squares adjustment; mathematical filtering; mathematical prediction; geomatics for land surveying; Understanding Least Squares Estimation and Geomatics Data Analysis

, Data Analysis, Research Methodologies, Data Analysis, Research Methodologies
Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2019
Language
en
Edition
1
Page amount
720 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9781119501442
Printed ISBN
9781119501398