badIS-6/Tunisian-Agricultural-Data-Harmonization-GIS-Pipeline

A pipeline for harmonizing Tunisian agricultural datasets, resolving Arabic/French regional naming inconsistencies, linking data to administrative boundaries, and generating GIS-ready spatial layers. # Tunisian Agricultural Data Harmonization & GIS Pipeline This is a data processing and geospatial pipeline for transforming raw Tunisian agricultural datasets into standardized, GIS-ready spatial layers. The project focuses on **data harmonization, metadata, administrative-region matching, and spatial transformation** of agricultural datasets related to Tunisia. It was developed as part of the **Smart SDG Tunisia – Manouba School of Engineering 2026 internship**. ## Overview Tunisian agricultural datasets can be valuable for statistical analysis while still being difficult to use directly in GIS applications. Common issues include: * Inconsistent administrative region names * Arabic/French naming differences * Missing or inconsistent geographic identifiers * Different field structures and units * Non-spatial datasets without coordinates * Lack of standardized links between statistical data and geographic boundaries We will provides a workflow to clean and harmonize these datasets and transform them into spatial layers suitable for visualization and analysis in **QGIS, ArcGIS, or other GIS software**. ## Objectives The project aims to: * Normalize inconsistent regional naming across agricultural datasets. * Resolve Arabic and French administrative naming conflicts. * Create a unified `region_id` for geographic matching. * Link statistical agricultural datasets with Tunisian administrative boundaries. * Convert non-spatial agricultural data into GIS-compatible formats. * Generate reproducible spatial layers for GIS visualization and analysis. * Provide metadata describing datasets, variables, geographic references, transformations, and output quality. ## Data Sources The workflow is designed around agricultural datasets obtained from the **ONAGRI-related data catalog**. The datasets cover 6 categories: * Forests * Animal production * Land development * Dams & irrigated areas * Rainfall * Agricultural products The raw datasets are organized by category before …