| Author(s) | John Olusegun Ogundare |
 | Year | 2019 |
 | Pages | 697 |
 | Language | English |
 | Format | PDF |
 | Size | 5.5 MB
|
 | Publisher | Wiley |
 | ISBN | 1119501393, 978-1119501398, B07JVW8845
|
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.
