• Score Range: 1 to 5

• Score Meaning:

  • 5 = Excellent / Leading in sustainability

  • 4 = Good / On track

  • 3 = Moderate / Needs improvement

  • 2 = Poor / Concerning trends

  • 1 = Critical / Urgent intervention needed

Climate Misinformation Index (CMI)

• Purpose: Quantify the prevalence and impact of climate misinformation worldwide

• Score (0–100): Higher = More misinformation

• Method:

  • Weighted average of national-level CMIs

  • Weights include population, emissions, media reach

• Sub-metrics:

  • Media integrity score

  • Public trust in climate science

  • Presence of denialist policy influence

  • Social media misinformation rates

  • Education/climate literacy level

🌡️ CO₂ Global Emissions Tracker

• Total emissions (GtCO₂/year)

• CO₂ per capita (tonnes)

• % contribution to global emissions

• Safe planetary boundary = 350 ppm atmospheric CO₂

📉 Climate Predictability Index (CPI)

• Measures decline in stable weather patterns

• Derived from IPCC models, WMO volatility indexes

• Expressed as % decline vs pre-industrial predictability

🌱 Global Resilience Score

• Forest & green space coverage (ha/capita)

• Renewable energy share (%)

• Waste management efficiency

• Adaptation policies in place

• % of land protected

• Urban planning for climate adaptation

Table Structure

Each city has a card with:

• CO₂ per capita (tCO₂/person)

• Total city emissions (MtCO₂)

• % Green space

• Renewable energy share

• Waste per capita (kg/person/year)

• Elevation (m) — flood risk

• Climate Vulnerability Index (0–1)

• Population

• City Area (km²)

• Emissions per km²

• Emissions as % of national total

• Green public transport coverage

• Planēo Score (Average of all above)

🧠 Human Systems Scoring (New Layer)

Includes:

1. Industrial Paradigm

   • GDP growth reliance

   • Linear economy extent

   • Overproduction index

2. Fossil Energy Dependence

   • % fossil fuels in energy mix

   • Grid efficiency

3. Consumerism Culture

   • Obsolescence index

   • Retail square meters per capita

4. Global Inequality Impact

   • Income/emissions disparity ratio

   • Environmental justice index

5. Governance Effectiveness

   • Climate policies in action

   • Citizen participation scores

6. Technological Ethics

   • AI/data center footprint

   • Tech e-waste levels

7. Nature Connection & Education

   • Access to nature

   • Climate education in schools

8. Urban Expansion & Land Use

   • Sprawl index

   • Ecosystem displacement score

9. Crisis Preparedness

   • Emergency systems readiness

   • Resilience investment per capita

➕ Additional Local Indicators

• Local CMI score (if available)

• Scorecards are displayed using swipeable UI cards (à la Apple Weather)

• Radial meter to show the overall Planēo Score

How to Assign Scores

1. Collect Data: Use verified sources (WRI, IPCC, local government, academic papers)

2. Normalize Values: Scale each metric to a 0–1 or 1–5 scale

3. Weight by Relevance: Assign weights if some metrics are more critical (e.g., emissions vs elevation)

4. Calculate Composite Scores: Combine weighted scores for categories like Planēo Score or CMI

5. Review Qualitatively: Adjust for outliers, missing data, or recent events (e.g., major floods, policy changes)

6. Update Regularly: Refresh with most recent datasets annually or bi-annually