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STAR*NET Overview
 One of the main features of this package is that it allows the weighting of input data either independently or by category.  This means that accurate data can be given more credence than measurements that are known to be less accurate.
 
In most cases, you will be interested in determining the coordinates of stations.  These can be considered as free in the adjustment or the user may fix these so that they do not receive corrections.  Standard deviations may be applied to stations so that they may become part of the adjustment process, acting like observations.
 
User selectable options allow the determination of the type of adjustment being made.  These options are selected through dialog boxes making the program easy to use, even for the casual user.  The inputting of data and the analysis of the results has been simplified and the program performs gross error checking warning the user if erroneous input data.
 
Four STAR*NET editions are available for your consideration:
 
LEV Edition - this is a subset and handles different levelling network adjustments.
 
STANDARD Edition - handles both 2D and 3D adjustments of survey networks.  This is the base edition, which includes an instrument library facility, points re-formatter, DXF export, grid to ground converter, graphics displays with pan and zoom, find and inverse capabilities, point and connection query from graphics and much more.
 
PLUS Edition - handles all the features of the STANDARD edition with the inclusion of levelling networks
 
PRO Edition - this is the high-end version that handles GPS vectors and has geoid/deflection modelling capabilities.  All the features of the PLUS edition are present with the inclusion of a vector importer that supports most baseline formats.  GPS options allow the scaling of vector weights and allow the application of centering errors.
 
 
Whilst STAR*NET appears to be a "Black Box" solution to your survey adjustment problems, you will be expected to observe normal good survey practices.  STAR*NET cannot correct for bad survey data, but will try to indicate where you may have problems.