Reconfiguring Geovisualization in the Age of Generative AI: Insights from Domain Experts

The integration of Generative AI (GenAI) into geovisualization is expanding capabilities in data handling, creative exploration, and rapid prototyping, according to a study involving 20 domain experts. While GenAI does not eliminate existing constraints, it shifts the primary challenges from production to judgment and verification, indicating a reconfiguration of professional practice in the field.

Why it matters

The evolving role of Generative AI in specialized domains like geovisualization highlights a broader trend of technology reconfiguring professional practices across sectors. Understanding this shift is critical for organizations to anticipate changing skill requirements, manage operational bottlenecks, and strategically leverage AI for enhanced productivity and innovation while mitigating new risks.

Key insights

• GenAI is increasingly integrated into geovisualization, but its comprehensive implications for professional practice are not yet fully understood.
• Semi-structured interviews with 20 geovisualization experts were conducted across analytical domains including Data, Ideation, Prototyping, and Iteration.
• GenAI enhances geovisualization capabilities, particularly in data handling, creative exploration, and rapid prototyping.
• The application of GenAI does not remove all constraints but reconfigures them.
• Key bottlenecks are shifting from production-focused activities to judgment and verification tasks.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.12059