Welcome
Overview
This section brings together the methodology behind AlphaGeo's core analytics.
What's in this section
Climate Risk and Resilience Index (CRRI)1
This section explains how CRRI converts physical hazard into resilience-adjusted risk.
It covers the adaptation workflow, climate data processing, source data, and market positioning.
Key pages:
- Methodology: Resilience-adjusted Risk with Triple-layer Adaptation Offset
- Methodology: Remediation Checklist - Quantifying Asset-level Adaptation
- Methodology: Climate Data Processing, Resolution & Downscaling
- Data Sources
- AlphaGeo versus the Market: Climate Risk and Resilience Index (CRRI)
Financial Impact Analytics (FIA)
This section explains how AlphaGeo translates climate risk into financial impact metrics.
It covers location-based impact modelling, asset-specific vulnerability adjustments, coefficient rationale, and references.
Key pages:
- Methodology: Location-based Financial Metrics (1/2)
- Methodology: Asset-Specific Vulnerability Framework (2/2)
- Appendix: Sensitivity Coefficient Rationale per Asset Class
- References
Global Adaptation Layer
This section explains how our Global Adaptation Layer, a multi-hazard global climate adaptation dataset, is constructed.
Clima-Metrics (Climate GDP)
This section explains how AlphaGeo forecasts climate-driven GDP loss across hazards, sectors, and subnational geographies.
It covers hazard feature computation, sector-hazard damage curves, sector share projection, compound hazard aggregation, and resilience-adjusted GDP loss.
Migration Monitor
This section explains how AlphaGeo estimates future international migration flows.
It covers the statistical model, data sources, forecasting logic, and output interpretation
Local server
To run this app as local server, use the following commands:
npm run start:standalone
Without standalone, the app will start in restricted mode only accessible from Alphageo app domain.
Build site
To build the site, use the following commands:
npm run build