WP3: SLO Algorithm Development

Work Package 3: Development of the algorithm for identifying Homogeneous Local Systems (SLO)

Overview

Development of the algorithm for identifying Homogeneous Local Systems (SLO) based on the three analytical pillars of the MAPS framework:

1. Scope: Multidimensional analysis of daily needs
2. Space: Identification of hierarchical territorial attractors
3. Time: Accessibility constraint within 1 hour

Timeline

• Months: M12-M18
• Final deadline: 30/09/2026

Planned Deliverables

D3.1 - SLO Algorithm Methodological Document

Document describing the methodology of the algorithm for identifying Homogeneous Local Systems (SLO):

• Theoretical framework and analytical pillars
• Mathematical formalization
• Clustering criteria
• Validation and metrics

D3.2 - Algorithm Implementation

Implementation of the algorithm in Python/R with:

• Documented source code
• Complete test suite
• Jupyter Notebooks for exploratory analysis
• Integration with WP2 infrastructure

D3.3 - Results Validation

Validation report with:

• Comparison with existing territorial aggregations
• Parameter sensitivity analysis
• Statistical validation
• Regional case studies

Status

🚧 In preparation - Documentation will be available during the implementation phase (M12-M18)

Links

• ← Back to Home
• WP2 - Data Lake - Data infrastructure for the algorithm
• WP5 - Simulator - Use of SLO results

---

Author: Guglielmo Celata - Fondazione Gran Sasso Tech