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davis-mironga/kenya-deforestation-analysis

Domaine:

environment and energygeospatial

Type de record:

project
Créateur:
dav
Hôte:
# Kenya's Vanishing Forests **A data analytics project on deforestation, land rights, and the communities living inside the data.** > "Where is Kenya losing forest cover, who is driving it, who suffers most — and what happens next?" --- ## About This Project Kenya has lost roughly 40% of its forest cover since independence — from 10% of land area in 1963 to around 6% today. This project uses 24 years of satellite data cross-referenced with UN and World Bank institutional data to answer four concrete questions about that loss. Built by **Davis Mironga** — --- ## Project Structure | Chapter | Question | Tool | Output | |---------|----------|------|--------| | 1 — Where? | Which counties lose forest fastest? | SQL | County ranking + trend chart | | 2 — Why? | How has the cause of loss shifted by county? | Python | Driver shift analysis | | 3 — Who? | Which communities bear the highest cost? | Power BI | Interactive dashboard | | 4 — What next? | Which counties will lose most by 2030? | Python (ML) | Forecast + policy recommendations | --- ## Key Findings *To be updated as chapters are completed.* --- ## Data Sources | Dataset | Institution | Coverage | |---------|-------------|----------| | Tree cover loss 2001–2024 | Global Forest Watch / UMD | County level | | Forest area + land use | FAO FAOSTAT | National | | Forest Resources Assessment | FAO FRA | National | | Poverty + rural population | World Bank | National + county | --- ## Communities in the Data This project explicitly names the communities whose lives are inside the numbers: - **The Ogiek** of the Mau Forest — ancestral land, 2017 African Court ruling - **The Sengwer** of Cherangany Hills — forced evictions linked to conservation finance - **Pastoralist communities** in Baringo and Tana River — charcoal production, grazing corridors --- ## How to Reproduce ```bash git clone github.com cd kenya-deforestation-analysis pip install -r r …

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