Скачать или смотреть Spatial Evidence for Climate Action: Generating Insights through Geospatial Analysis

At our recent E4CA session on geospatial analysis, IEG experts, Estelle Raimondo, PhD, Head, Evaluation Methods, and Data Scientist, Virginia Ziulu, shared about the critical importance of #geospatial tools in generating hashtag#climate and #biodiversity evidence and lessons on how to incorporate these tools in effective ways in evaluations.

✅ How geospatial tools help:
Geospatial analysis can help improve accountability and precision by helping:
▪️ Pinpoint climate hotspots—deforestation, floods, heat waves—so actions can be more targeted.
▪️ Link adaptation and mitigation strategies to local realities.
▪️ Monitor change over time, revealing trends in land use, carbon stocks, and ecosystem health.

📊 Geospatial analysis can be used for:
▪️ Measurement: Visualizing spatial-temporal patterns.
▪️ Relevance: Aligning projects with community needs.
▪️ Effectiveness: Testing if interventions deliver intended outcomes.

🌱Cases of IEG use of geospatial analysis:
✅ Global Biodiversity Evaluation: AI-powered land-cover data revealed tree cover changes across 526 protected areas. 🔗 Read the evaluation: https://lnkd.in/ewpW3_-f
✅ Flood Resilience in Tanzania: Combined digital elevation models and surface imperviousness data to assess flood risk along Dar es Salaam’s Bus Rapid Transit (BRT) system. 🔗 Read the evaluation: https://lnkd.in/eQRqzvV5
✅ Blue Economy in Belize: Mapped mangrove cover change (2010–2020) using radar-derived datasets and change detection algorithms; identified areas of loss and gain to inform coastal protection strategies. 🔗 Read the evaluation: https://lnkd.in/dtRxB2FE

📖 Key Lessons
▪️ Publicly available data is powerful: All examples relied on free datasets, such as imagery from ESA/NASA, Google Earth Engine repositories, and emerging AI-generated datasets.
▪️ Validation is a critical step: Where feasible, plan field validation; when not, implement layered validation via high-resolution imagery, local expert review, and literature triangulation.

🔍 Looking ahead, integrating geospatial analysis in evaluation methodologies require:
▪️ Institutionalizing geospatial analysis in evaluations using standardized and clear protocols for handling the data (including AI-generated datasets).
▪️ Strengthening attribution using mixed-data and counterfactual methods.
▪️ Building capacity and partnerships through initiatives like MapMe.
▪️ Communicating findings through decision-ready visuals towards informing COP dialogues and country engagements.

💬 How are you leveraging geospatial tools to generate climate and biodiversity evidence?

📢 Share your insights using hashtag#E4CA.