DIVA: From Structured Data to Spatial Intelligence

Integrated cultural, agritourism, and infrastructure layers within the Berat territory.

Understanding Spatial Integration

Spatial integration in DIVA links structured indicators to geographic space, enabling spatial analysis of territorial patterns.

Through PostGIS, each indicator is stored with geometry and can be queried, mapped, and analyzed, transforming static data into spatially-aware analytical outputs.

Core Spatial Functions

Geometry-Based Data Model

Indicators are associated with geometric data types (points, lines, polygons), enabling spatial representation within the database.

GIS Integration

Geospatial data is visualized and analyzed through GIS platforms such as QGIS, supporting advanced territorial exploration.

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PostGIS Spatial Queries

Spatial functions allow analysis of proximity, containment, and spatial relationships directly within PostgreSQL.

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GeoJSON Outputs

Spatial data is exported in GeoJSON format, enabling integration with web applications and interactive maps.

Transforming Data into Spatial Intelligence

Data Collection → Database Integration → Spatial Analysis

Identify Data

Standardize Data

Structured indicators are collected and standardized from multiple sources, ensuring consistency and readiness for integration into the DIVA data model.

Integrate with PostGIS

Database Integration

Data is integrated into a PostGIS-enabled relational database, where indicators are linked to geometry and prepared for spatial queries and geospatial analysis.

Visualize and Analyze

Spatial Analysis

Spatial queries and geospatial functions are applied to identify patterns, relationships, and territorial dynamics, enabling data-driven insights and decision support.

The spatial layer in DIVA integrates geospatial data within the analytical system, enabling the transition from structured data to spatial intelligence.

This allows users to explore, analyze, and interpret territorial data within a geographic context, supporting more informed and context-aware decision-making.