Perform Spatial Helmert and Molodenski coordinates transformations with seven transformation parameters, study results and export them to file.
- Version :7.01
- License :Demo
- OS :Windows All
- Publisher :Killet Softwareentwicklung GbR
SEVENPAR is an advanced software utility that gives you the possibility to transform Spatial Helmert and Molodenski parameters, in order to create accurate coordinate transformations from one reference system into another.
Plain-looking UI with advanced options
The interface is user-friendly, made from a regular window with plain and simple structure that invites you to write information or point out two files for reading the source and target reference system, respectively.
Perform coordinates transformations
It is possible to choose the coordinates format, designate the source and target reference system, as well as select the transformation parameters between coordinate frame rotation, position vector transformation, European Standard ISO 19111 and Molodenski Transformation.
SEVENPAR can be asked to write ellipsoids to coordinate files, allow comma as the decimal separator, perform a reverse calculation (from target to source), as well as to include the rotation matrix, original coordinates, geographical and Cartesian coordinates along with the calculated residuals in the output.
Export information to file
The current configuration can be saved to file and opened in future projects. Plus, you can reset settings to default, view the log file, capture the main application window to an image file with the GIF or BMP format, change the UI language, disable confirmation dialogs on program exit, and so on.
Evaluation and conclusion
We haven’t come across any stability issues in our tests, thanks to the fact that SEVENPAR didn’t hang, crash or pop up error messages. It has a good response time and minimal impact on computer performance, thanks to the fact that it needs low CPU and RAM to work properly.
To sum it up, SEVENPAR comes loaded with the required features for performing transformations using Spatial Helmert and Molodenski parameters.