Principal Component Analysis and Geodetic Networks

Schriftenreihe
des Instituts für Geodäsie

Heft 7/1982


 
Principal Component Analysis
and Geodetic Networks
-  Some Basic Considerations  -

Wolfgang NIEMEIER
Calgary, Alberta, Canada

On leave from the University of Hannover,
Federal Republic of Germany

 

In: BORRE, Kai / WELSCH, Walter M. (Eds.) [1982]:
International Federation of Surveyors - FIG -
Proceedings Survey Control Networks
Meeting of Study Group 5B, 7th-9th July, 1982, Aalborg University Centre, Denmark

Schriftenreihe Wissenschaftlicher Studiengang Vermessungswesen, Hochschule der Bundeswehr München, Heft 7, Neubiberg, S. 275-291.
 



Abstract

As additional criteria for the diagnosis of geodetic networks, principal component analysis (PCA) is introduced and its geometrical and statistical properties are outlined. These criteria show geometrically the correlation between variates, i.e. information that cannot always be derived from other common criteria for precision. As the examples will show, PCA yields a geometrically clear insight into the network behaviour and it is therefore ideally suited to the description of certain global properties of a network, especially one designed for monitoring.
 



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