Project overview
Tochi-Satei-Kun reads MLIT transaction data and public-land-price GeoJSON, re-estimates municipality-specific hedonic regression coefficients, selects comparable cases, and exports broker and client worksheets in Excel. The broker sheet exposes coefficients and adjustments so the estimate can be checked, while the client sheet hides statistical detail. It supports Japanese vacant land with ownership rights for preliminary brokerage screening, not a statutory appraisal, and needs current source data supplied by the user.
Repository facts
- Primary language
- Python
- License
- Custom / other
- Repository updated
- Jun 13, 2026
- Default branch
- main
Resource types
General skill
Use cases
Finance, legal and compliance
Platforms
Claude Code, Codex, and more