Abstract

Interest in and use of 3D visualizations for analysis and communication of flooding risks has been increasing. At the same time, an ecosystem of 3D user interfaces has also been emerging. Together, they offer exciting potential opportunities for flood visualization. In order to understand how we turn potential into real value, we need to develop better understandings of technical workflows, capabilities of the resulting systems, their usability, and implications for practice. Starting with existing geospatial datasets, we develop single user and collaborative visualization prototypes that leverage capabilities of the state-of-the art HoloLens 2 mixed reality system. By using the 3D displays, positional tracking, spatial mapping, and hand- and eye-tracking, we seek to unpack the capabilities of these tools for meaningful spatial data practice. We reflect on the user experience, hardware performance, and usability of these tools and discuss the implications of these technologies for flood risk management, and broader spatial planning practice.

Highlights

  • Mixed Reality Flood Visualizations: With changing climate and growing sea levels, coastal and riverine flooding is a growing concern across the world

  • The sections that follow describe the workflows through which we explored the feasibility of developing mixed reality (MR) flood risk visualization tools; the resulting visualization interfaces; critical reflection and review of these systems from the perspectives of their performance, usability, and potential as operational tools; and their potential to integrate with current and future spaces of flood risk management (FRM) practice

  • This research aimed to integrate existing datasets related to shore adaptation to flooding risks in the state-of-the-art mixed reality interface system

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Summary

Introduction

Mixed Reality Flood Visualizations: With changing climate and growing sea levels, coastal and riverine flooding is a growing concern across the world. Given the institutional nature of flood risk management (FRM), most developed visualizations attempt to fit into the existing planning/risk management infrastructure. This integration makes the flood visualization domain interesting, as the developed tools can be analyzed within the applied context of spatial analysis of risk and its communication to stakeholders. Many developed tools are compelling, we still lack empirical studies to turn novelty and claims of improved understanding of data into demonstrable value for users This trend has certainly been influenced by increased generation and use of 3D data (e.g., LiDAR, structure-from-motion (SfM), building information management (BIM)) where the vertical characterization of space is more complex [7,8]

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