Geodesign in the era of artificial intelligence.

Area of Science:

• Environmental Science
• Urban Planning
• Geographic Information Systems (GIS)

Background:

• Geodesign methods have evolved to address complex spatial and environmental challenges.
• The integration of artificial intelligence (AI) presents new opportunities for enhancing Geodesign.

Purpose of the Study:

• To explore the evolution of Geodesign with a focus on AI integration.
• To examine how AI enhances Geodesign processes and outcomes.
• To identify challenges and advocate for responsible AI implementation in Geodesign.

Main Methods:

• Review of Geodesign principles and historical development.
• Analysis of AI applications in spatial data analysis, land use classification, and environmental assessment.
• Case study examination of AI-driven Geodesign projects.

Main Results:

• AI significantly enhances Geodesign by automating analysis, improving classification, and optimizing planning.
• AI facilitates scenario generation and supports informed decision-making in environmental design.
• Identified challenges include data quality, model interpretability, and ethical considerations (privacy, bias).

Conclusions:

• AI offers transformative potential for Geodesign, improving efficiency and effectiveness.
• Responsible and transparent AI integration is essential for equitable Geodesign.
• Future Geodesign practices must address ethical implications and ensure robust data governance.