geo-infer-econ
Geospatial economics and bioregional market modeling. Use when analyzing spatial economic patterns, bioregional markets, location-based pricing, call auctions, or supply-demand modeling with geographic context.
Best use case
geo-infer-econ is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Geospatial economics and bioregional market modeling. Use when analyzing spatial economic patterns, bioregional markets, location-based pricing, call auctions, or supply-demand modeling with geographic context.
Teams using geo-infer-econ should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/GEO-INFER-ECON/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How geo-infer-econ Compares
| Feature / Agent | geo-infer-econ | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Geospatial economics and bioregional market modeling. Use when analyzing spatial economic patterns, bioregional markets, location-based pricing, call auctions, or supply-demand modeling with geographic context.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# GEO-INFER-ECON
## Instructions
### Core Capabilities
- **Bioregional markets**: Call auction mechanics, location multipliers
- **Spatial economics**: Geographic price modeling, trade flow analysis
- **Supply-demand**: Spatially-aware supply chain economics
- **Impact assessment**: Economic impact of spatial interventions
- **Logistics integration**: Bridge to LOG module for supply chain analysis
### Key Imports
```python
from geo_infer_econ.bioregional.bioregional_markets import BioregionalMarket
from geo_infer_econ.core.spatial_economics import SpatialEconomicModel
from geo_infer_econ.integrations.logistics_integration import LogisticsEconomicAnalyzer
```
## Examples
```python
from geo_infer_econ.bioregional.bioregional_markets import BioregionalMarket
market = BioregionalMarket(region="pacific_northwest")
market.add_bid(buyer="co_op_a", price=12.50, quantity=100, location=(45.5, -122.6))
market.add_ask(seller="farm_b", price=11.00, quantity=80, location=(45.3, -122.8))
result = market.clear_auction()
print(f"Clearing price: ${result.price:.2f}, Volume: {result.volume}")
```
```python
from geo_infer_econ.integrations.logistics_integration import LogisticsEconomicAnalyzer
analyzer = LogisticsEconomicAnalyzer()
cost = analyzer.compute_transport_cost(
origin=(45.5, -122.6), destination=(47.6, -122.3),
cargo_tonnes=50
)
print(f"Transport cost: ${cost.total:.2f}")
```
## Guidelines
- Call auction and location multiplier are real implementations
- Logistics integration bridges ECON↔LOG modules
- Logger used instead of print() for all output
- Test: `uv run python -m pytest GEO-INFER-ECON/tests/ -v`
### Integrations
- **LOG** → Supply chain logistics cost modeling
- **AG** → Agricultural commodity market analysis
- **TRANSPORT** → Transportation cost for trade flows
- **RISK** → Economic risk and insurance modeling
- **SPACE** → Location multiplier spatial analysis