Adam49-Tech/Mapping_Food_Security_Hotspots

This project applies geospatial analysis and machine learning to identify Local Government Areas (LGAs) at risk of food insecurity in Nigeria. Using socio-economic environment, and population datasets, the project produces hotspot maps, interactive dashboards, and policy insights to guide decision-makers. # Mapping Food Security Hotspots (Nigeria) ## Overview This project focuses on Mapping Food Security Hotspots in Nigeria. **Mapping Food Security Hotspots** identifies, classifies, and visualizes food-security hotspots across Nigeria using open geospatial data and Python (run in VS Code). The workflow integrates seven indicators (slope, NDVI, flow accumulation, rainfall, population density, market access, and accessibility) into a composite **Food Security Index (FSI)**, classifies hotspots, computes LGA-level statistics, and produces publication-ready maps. This repository is designed for **reproducibility** and **clarity**: - Scripts are plain Python (no notebooks required). - Long rasters are processed **chunk-by-chunk** to avoid memory errors. - CRS (coordinate reference systems) checks and auto-fixes are built in where possible. - Final outputs are ready for reports (legend, scale bar, north arrow, locator inset). --- ## Problem Statement > Food insecurity remains a major challenge in Nigeria, driven by population growth, environmental change, conflict, and limited access to agricultural resources. Policymakers, NGOs, and researchers often lack spatially detailed insights into where food insecurity risks are highest. Without clear hotspot mapping, it is difficult to target interventions, allocate resources effectively, and design sustainable solutions. This project — Mapping Food Security Hotspots — addresses the challenge by leveraging geospatial data (e.g., population density, rainfall, agricultural land use, elevation, etc.) and spatial analysis tools to identify vulnerable regions at state and LGA levels. The results provide actionable insights to support decision-making in food security planning and disaster risk management. --- ## Repository Structure MAPPING_FOOD_SECURITY_HOTSPOTS/ ├── data/ │ ├── auxiliary/ # Nigeria boundary & admin layers (GADM/GEE) │ │ ├── raw_nigeria_iga.cpg │ │ ├── raw_nigeria_iga.dbf │ │ ├── r …