SurvNET performs a least squares adjustment and statistical analysis of a network of raw survey field data, including total station measurements, differential level data and GPS vectors. SurvNET simultaneously adjusts a network of interconnected traverses with any amount of redundancy. The raw data can contain any combination of angle and distance measurements, and GPS vectors. SurvNET can adjust any combination of trilaterations, traverses, triangulations, networks and resections. The raw data does not need to be in a linear format, and individual traverses do not have to be defined using any special codes. All measurements are used in the adjustment.
SurvNET implements the standard parametric observation equation method with independent weighting for azimuths, directions, angles, distances, GPS baselines, coordinates, elevations and level data to compute least squares estimates of all unknowns in accordance with well-established reference texts: Ghilani, Charles D. & Wolf, Paul R., (2006) Adjustment Computations: Spatial Data Analysis. Hoboken, NJ: Wiley.
SurvNET produces a wealth of statistical information that allows an effective way to evaluate the quality of survey measurements. In addition to the least squares statistical information there is an option to compute traverse closures during the preprocessing of the raw data. Traverse closures can be computed for both GPS and total station traverses. This option has no effect on the computation of final least squares adjusted coordinates. This option is useful for surveyors who (due to statutory requirements) are still required to compute traverse closures and for those surveyors who still like to view traverse closures prior to the least squares adjustment.
For additional information, feel free to explore the introduction to SurvNET or
let's get started!
Pulldown Menu Location: Survey
Keyboard Command: survnet
Prerequisite: Raw data files
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