امروز میخواهم دوتا کتاب آموزنده و پر کاربرد در زمینه نقشه برداری رو براتون معرفی کنم .این کتابها در زمینه سرشکنی و تعدیل خطاهایی است که در برداشتها و مشاهدات نقشه برداری و ژئودزی و فتوگرامتری و حتی جی آی اس وارد شده که به روش آسان و دقیق کمترین مربعات Least Squares به راختی قابل محاسبه و خذف میباشند .

1- کتاب" محاسبات سرشکنی : رقومی و کمترین مربعات در نقشه برداری و جی آی اس "  

The complete guide to adjusting for measurement error —expanded and updated.
All measurements contain errors. And with global positioning systems, total station instruments, digital metric cameras, and satellite imaging systems now generating vast quantities of data, adjustment for errors is crucial to accurate interpretation. Adjustment Computations provides a complete, up-to-date treatment of every aspect of least squares adjustment, the most rigorous procedure available for computing adjustments to measured data.

This comprehensive work starts with basic principles and proceeds to the development of proper mathematical and stochastic models. Advanced topics include use of constraint equations and blunder detection. Each chapter is supported by clear, practical examples, numerous illustrations, and helpful end-of-chapter problems. The accompanying disk contains three software packages: statistical analysis, the performance of least squares adjustments, and basic matrix operations.

New material in this expanded edition includes:
Error propagation in angle and distance measurements, traverse computations, and elevation determination
Confidence intervals and statistical testing
Adjustment of GPS networks
Blunder detection in horizontal survey networks.

An excellent reference and self-study source for working surveyors, photogrammetrists, and GIS managers, this book is an indispensable resource for students preparing for the LSIT, LS, and PE exams and the ideal text for courses in surveying, civil engineering, forestry, cartography, and geology.

2- کتاب " راه حل مسائل کمترین مربعات "

An accessible text for the study of numerical methods for solving least squares problems remains an essential part of a scientific software foundation. This book has served this purpose well. Numerical analysts, statisticians, and engineers have developed techniques and nomenclature for the least squares problems of their own discipline. This well-organized presentation of the basic material needed for the solution of least squares problems can unify this divergence of methods. Mathematicians, practicing engineers, and scientists will welcome its return to print. The material covered includes Householder and Givens orthogonal transformations, the QR and SVD decompositions, equality constraints, solutions in nonnegative variables, banded problems, and updating methods for sequential estimation. Both the theory and practical algorithms are included. The easily understood explanations and the appendix providing a review of basic linear algebra make the book accessible for the non-specialist.

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