STAR*NET V6 - Circe

APPENDIX B - REFERENCES
The following list of reference materials is provided for STAR*NET users who wish to
study the practical and theoretical aspects of survey adjustments in more detail.
1. Wolf, Paul R., and Ghilani, Charles D., Adjustment Computations, Statistics and
Least Squares in Surveying and GIS, John Wiley & Sons, Inc., New York, 1997.
An excellent discussion of the theory of survey errors and the use of least squares
adjustments of survey networks. A valuable addition to your library.
2. Buckner, R.B., Surveying Measurements and Their Analysis, Landmark Enterprises,
Rancho Cordova, California, 1984.
An important reference text for the student and professional introducing the theory
of measurements, instrument use, propagation of errors in observations, and much
more. This easy-to-read book will develop your appreciation of measurements as an
art and a science, and it is highly recommended.
3. Anderson, J.M., and Mikhail, E.M., Introduction to Surveying, McGraw-Hill, New
York, 1985.
This text provides a good introduction to surveying practice. Mathematical concepts
are kept as simple as possible, but the book still treats them rigorously. Survey
adjustments and error propagation are not covered in depth.
4. Davis, R.E., Foote, F.S., Anderson, J.M, and Mikhail, E.M., Surveying - Theory and
Practice, McGraw-Hill, New York, 1981.
The basic mathematical theory of STAR*NET is based on the appendices in this
text, although three-dimensional adjustment theory is not developed in the book. The
text provides a detailed and rigorous treatment of surveying and mapping. Several
chapters and appendices are devoted to survey adjustment, error propagation, and
statistical analysis. This book is recommended for those requiring an in-depth
theoretical and practical treatment of surveying and mapping.
5. Mikhail, E.M., and Gracie, G., Analysis and Adjustment of Survey Measurements,
Van Nostrand Reinhold Company, 1981.
This book introduces the basic concepts of obtaining and adjusting survey
measurements. It is systematic, rigorous, and practical in its approach. It covers the
basics of Least Squares Adjustment and statistical analysis, with many example
problems. It uses matrix algebra throughout, and is recommended for those
STAR*NET users requiring a solid introduction to survey adjustment.
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