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

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

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}")

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