Least-squares leveling adjustment and 2D Helmert transformations.
Adjusts differential leveling networks using the Gauss-Markov model and performs 4-parameter similarity and 6-parameter affine transformations.
Includes residuals, covariance matrices, confidence intervals, control-point error ellipses, HTML reports, CSV and GeoPackage exports, and the QGIS CRS selector.
Requires NumPy in the Python environment used by QGIS. SciPy is optional; internal statistical approximations are used when it is unavailable.
Designed for planar survey coordinates in metres. Coordinate transformations are fitted models, not replacements for geodetic datum operations.
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