.. _project-params: ===================== Project Configuration ===================== The project configuration is available and editable via a |gui| when creating a new project using ``New`` or when using ``Configuration`` from :ref:`gui-project`. It is recorded into the *.comp* project file. Project Basic Configuration =========================== - Metadata: - Projet name - Project description - Input: - Main :ref:`COR ` file - Main :ref:`OBS ` file - Frame: - Local center coordinates: coordinates of project center point in input projection. All the topometric points should be close to it - Local frame: - Center latitude: used to get spherical approximation of Earth radius (in decimal degrees, :math:`0.1^{\circ}` precision is sufficient). - Georeferenced frame: - CRS name: only used to pre-fill Proj definition - Proj definition: something like ``epsg:32719``, ``IGNF:LAMB1`` or ``+proj=lcc +lon_0=-90 +lat_1=33 +lat_2=45``. Any projection, as long as it has a correct libProj definition, is possible (some additional grid files may be required). Project Advanced Configuration ============================== - Input: - COR Covariance Matrix File: a *.csv* file for covariances on coordinates constraints (see :ref:`corcov`) - *COR* with ellipsoidal heights: if this checkbox is unchecked, altitude is used instead of ellipsoidal height (allowed only for 1D projects) - Refraction coefficient: it only affects zenithal measurements (default value: 0.12) - Output: - Decimal places: for output files and report - Language for report - Option to display the map in html report - Option to remove comments from output file *.new*, to simplify importing as spreadsheet - Computation type: - Compensation: least square adjustment - Propagation simulation: simulation by variance propagation (see :ref:`simul-propag`) - Monte-Carlo simulation: simulation by repeated random sampling (see :ref:`simul-mc`) - Computation options: - Invert normal matrix: used to get confidence intervals (see :ref:`normal-matrix-inversion`) - Internal contraints: use of internal constraints in the last iteration (see :ref:`internal-constraints`) - Iterations: - Maximum iterations: the compensation will be interrupted if this number of iterations is reached. For Monte-Carlo simulations, this is the number of random samples - Additional iterations: number of iterations forced after convergence (iterations will continue if convergence is unreached during forced iterations) - Convergence criterion: when :math:`\sigma_0` relative variation is below this threshold, convergence is reached