Impact Map

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To visualize the global impact of the Green Renaissance, we integrate a geospatial layer into the dashboard. This “Impact Map” provides a real-time, interactive look at the exact coordinates of our sequestration zones, allowing partners to “fly” to the fields where their carbon was captured.

We use Folium for its rich mapping capabilities and Streamlit-Folium to embed it seamlessly into our Python dashboard.

Python Script: `ghl_impact_map.py`

Python

import streamlit as st
import pandas as pd
import folium
from streamlit_folium import st_folium
import json

# --- MOCK DATA (In production, this is fetched from GHL/IPFS) ---
sequestration_data = [
    {"zone": "Antwerp North", "lat": 51.24, "lon": 4.42, "tons": 450, "status": "Active"},
    {"zone": "Ghent Bio-Hub", "lat": 51.05, "lon": 3.73, "tons": 1200, "status": "Harvested"},
    {"zone": "Ukraine Ma'Ryzhany", "lat": 50.25, "lon": 28.66, "tons": 8500, "status": "Processing"},
    {"zone": "French Fiber-Plains", "lat": 48.85, "lon": 2.35, "tons": 3200, "status": "Active"}
]

def create_impact_map(data):
    # Initialize map at a central European point
    m = folium.Map(location=[50.0, 10.0], zoom_start=4, tiles="CartoDB positron")
    
    for zone in data:
        # Determine marker color based on status
        color = "green" if zone["status"] == "Active" else "blue" if zone["status"] == "Processing" else "gray"
        
        # Create a detailed popup with Equity Index stats
        popup_html = f"""
            <div style="font-family: Arial; width: 200px;">
                <h4 style="margin-bottom:5px;">{zone['zone']}</h4>
                <p><b>Sequestration:</b> {zone['tons']} Tons CO2e</p>
                <p><b>Status:</b> {zone['status']}</p>
                <hr>
                <a href="https://explorer.planethemp.one" target="_blank">View on Ledger</a>
            </div>
        """
        
        folium.CircleMarker(
            location=[zone["lat"], zone["lon"]],
            radius=zone["tons"] / 200, # Scale circle by sequestration volume
            popup=folium.Popup(popup_html, max_width=250),
            color=color,
            fill=True,
            fill_opacity=0.6
        ).add_to(m)
        
    return m

# --- DASHBOARD UI ---
st.title("🌍 Global Impact Map")
st.markdown("Real-time geographic distribution of Planet Hemp sequestration zones.")

# Render the Map
map_obj = create_impact_map(sequestration_data)
st_folium(map_obj, width=1100, height=600)

# Geographic Breakdown Table
st.subheader("Regional Performance")
st.table(pd.DataFrame(sequestration_data))

The “Geographic Imprint” Logic

Visual Weight: The size of the CircleMarker is dynamically scaled by the amount of $CO_2$ sequestered, allowing for an instant visual audit of our highest-impact regions.
Status Coloring: Active (Growing) zones are green, signaling active sequestration, while Harvested zones turn gray, indicating the biomass has moved to the Industrial Forge.
The Metadata Bridge: Every marker is a portal. Clicking the popup provides a direct link back to the Global Hemp Ledger, closing the loop between physical soil and digital proof.