Journal of Digital Landscape Architecture

Seite drucken

Immersive VR-Driven Landscapes: Exploring Climate-Adaptive Ecosystem Design

This paper investigates the Icelandic turf house as a conceptual model for adaptive, climateresponsive design strategies explored through immersive narratives. The research integrates Virtual Reality (VR), point cloud technology, and diverse ecological datasets to establish a speculative framework for understanding and designing symbiotic systems. Leveraging the Terraforming Interface – a computational framework tailored for cross-scalar ecological exploration – this research transforms VR into an interactive medium for engaging with dynamic, multi-layered processes. High-resolution point clouds enriched with microbial, vegetative, and behavioral data allow for real-time exploration of ecological interdependencies within immersive environments. Narrative-driven VR scenarios visualize speculative futures, reimagining architecture as an active participant in ecological networks. By advancing a more-than-human perspective, this approach challenges static design paradigms, emphasizing resilience, cohabitation, and adaptive strategies for addressing climate change. The findings demonstrate the potential of architecture as a living, responsive system that bridges the divide between the built and unbuilt, offering pathways for innovation in sustainable and climate-adaptive design.

Autor / Author: Fricker, Pia; Weidhaas, Raphael
Institution / Institution: Aalto University, Finland; Aalto University, Finland
Seitenzahl / Pages: 11
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 10-2025
Tagung / Conference: Digital Landscape Architecture 2025 – Collaboration
Veranstaltungsort, -datum / Venue, Date: Dessau Campus of Anhalt University, Germany 04-06-25 - 07-06-25
Schlüsselwörter (de):
Keywords (en): Virtual reality (VR), climate-responsive design speculation, multispecies cohabitation, data-driven design, point-cloud technology, speculative ecosystem simulation
Paper review type: Full Paper Review
DOI: doi:10.14627/537754011
8394 -