Augmented Reality is increasingly being used as a tool for education and communication. However, applications tend to be limited to a single-use case, due to the complexity of adapting in-situ visualisations to different environments and topographies. In this paper we propose a novel adaptive visualisation workflow designed to embed large-scale visualisations with temporal dynamics within arbitrary environments, using dynamic spatial mapping. We build a generic parameterised method to create interactive, explorable visualisations of progressive environmental augmentations. We demonstrate how this system could be used to simulate a simplified rewilding visualisation for use in education and stakeholder participation, allowing participants to explore potential ecological changes in-situ.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)