SynthPopCan
Local synthetic population workspace
New durable run
IPF from margin tables
Fit compact weights from seed records and normalized controls.
- 1. Inputs
- 2. Configure
- 3. Preflight
- 4. Run
- 5. Results
Choose the two IPF input files
Files stream directly into this local workspace. They are not loaded into browser memory for fitting.
Generate from a prepared model
Choose a reviewed catalogue package or upload a linked package JSON. Generation and validation run in Python.
Configure the fit
Compact fitted weights are the durable output. Expansion remains a separate, explicit workflow.
Preflight
Review parsed records, control margins, expected output, and workspace capacity before starting.
Run progress
This work continues in an isolated local process. You can refresh and reconnect from the Runs list.
Results
The completed run and its artifacts are stored in the local workspace.
Weighted output preview
Person output preview
Artifacts
Reproduce from the command line
Prepare a small-area synthesis
Python-backed preflightChoose a linked model and normalized geographic controls. Preflight checks compatibility, scale, and disk before the durable run starts.