5. Project Configuration

The project configuration is available and editable via a graphical user interface when creating a new project using New or when using Configuration from Project Menu. It is recorded into the .comp project file.

5.1. Project Basic Configuration

• Metadata:

  • Projet name

  • Project description

• Input:

  • Main COR file

  • Main 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, \(0.1^{\circ}\) 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).

5.2. Project Advanced Configuration

• Input:

  • COR Covariance Matrix File: a .csv file for covariances on coordinates constraints (see COR Covariance Matrix File)

  • 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 Variance Propagation Simulation)

  • Monte-Carlo simulation: simulation by repeated random sampling (see Monte-Carlo Simulation)

• Computation options:

  • Invert normal matrix: used to get confidence intervals (see Normal Matrix Inversion)

  • Internal contraints: use of internal constraints in the last iteration (see 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 \(\sigma_0\) relative variation is below this threshold, convergence is reached