EU Spatial Demographics

This repository contains a comprehensive spatial data analysis of demographic trends across European Union NUTS-3 regions. By leveraging geographic information systems (GIS) and spatial statistics, this project explores regional disparities, population dynamics, and geographic clustering of demographic indicators.

📊 Overview

The analysis focuses on several key demographic indicators:

• Population Density
• Median Age of Population
• Crude Rate of Total Population Change
• Net Migration (including statistical adjustments)

Using GeoDa, the project includes variable mapping and spatial autocorrelation to identify spatial clusters and outliers across the EU.

📂 Project Structure

• Data - Cleaned/: Processed datasets ready for spatial analysis.
• EU_NUTS3/: Shapefiles and boundary data for EU NUTS-3 regions.
• Spatial Autocorrelation/: Results and statistical outputs from spatial autocorrelation models (e.g., Moran's I).
• Variable Maps/: Visualizations of demographic distributions across regions.
• GeoDa Files.gda: Main project file for opening the analysis in GeoDa.
• Presentation.pptx: Slide deck summarizing the methodologies and key findings.

📖 Wiki

For detailed documentation regarding the methodology and interpretation of results, please refer to the project Wiki.

• Data Preparation & Cleaning
• Methodology: Spatial Autocorrelation
• Map Interpretations & Findings
• Conclusion & Policy Implications

🛠️ Tools & Technologies

• GeoDa: Spatial data analysis, visualization, and spatial autocorrelation.
• GIS: Geographic Information Systems methodologies.
• Data processing & cleaning: Python/Excel for preparing NUTS-3 statistical data.

🚀 Getting Started

1. Clone this repository.
2. Ensure you have GeoDa installed on your machine.
3. Open the GeoDa Files.gda workspace in GeoDa to view the spatial weights, maps, and autocorrelation models.