Training overview
The training section is a guided curriculum for using Siter end-to-end. It is structured as numbered modules that build on each other — a new user can work through them in order, while an experienced user can drop into a specific topic for a refresher.
Training pages focus on learning objectives and scenario-based exercises. They explain why the application behaves the way it does and how expert QD knowledge maps onto Siter's UI mechanics. For step-by-step reference on a specific feature, see the Capabilities section — each training page links into the matching capability where one exists.
Audience
This curriculum assumes:
- Working knowledge of QD criteria application (DoD 4145.26, DESR 6055.09, NATO EdC, etc.)
- Comfort interpreting analysis codes, K-factors, and required separation distances
- No prior Siter experience required
Module map
- Calculator fundamentals — how the QD engine resolves inputs into analysis codes and results, in a single-analysis context. This is the conceptual foundation for everything that follows.
- Getting set up — request access or install the desktop client, and validate edit permissions.
- Projects — create and configure a project, including criteria, attribute defaults, and spatial reference.
- Layers — work with QD-visible and background layers, organize them, and bring in imagery.
- Features — add, edit, move, and reassign facilities and other map objects.
- Your first analysis — run analysis, read the results, and identify violations.
- Relationships — assign related facilities, manage relationship groups, and use barricading.
- Making site plans — produce forms, result sets, and drawings.
- Project management — share, export, copy, and archive projects.
- Utility tools — data validation, to-do list, markup, and the digitizer.
- Bulk tools — work with the features list and edit many facilities at once.
- Placement analysis — preview a new feature's impact before committing it.
- Advanced data — bring in shapefiles, GeoJSON, AutoCAD, QGIS exports, and ESS imports.
note
Screenshots are intentionally absent from training pages while we finalize the training dataset.