collaborative visualization
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2021 ◽  
Vol 13 (20) ◽  
pp. 4130
Author(s):  
Nicola Lercari ◽  
Denise Jaffke ◽  
Arianna Campiani ◽  
Anaïs Guillem ◽  
Scott McAvoy ◽  
...  

In the American West, wildfires and earthquakes are increasingly threatening the archaeological, historical, and tribal resources that define the collective identity and connection with the past for millions of Americans. The loss of said resources diminishes societal understanding of the role cultural heritage plays in shaping our present and future. This paper examines the viability of employing stationary and SLAM-based terrestrial laser scanning, close-range photogrammetry, automated surface change detection, GIS, and WebGL visualization techniques to enhance the preservation of cultural resources in California. Our datafication approach combines multi-temporal remote sensing monitoring of historic features with legacy data and collaborative visualization to document and evaluate how environmental threats affect built heritage. We tested our methodology in response to recent environmental threats from wildfire and earthquakes at Bodie, an iconic Gold Rush-era boom town located on the California and Nevada border. Our multi-scale results show that the proposed approach effectively integrates highly accurate 3D snapshots of Bodie’s historic buildings before/after disturbance, or post-restoration, with surface change detection and online collaborative visualization of 3D geospatial data to monitor and preserve important cultural resources at the site. This study concludes that the proposed workflow enhances the monitoring of at-risk California’s cultural heritage and makes a call to action to employ remote sensing as a pathway to advanced planning.


Author(s):  
Khadidja Belgacem ◽  
Mouna Kenoui ◽  
Feriel Bouguerra ◽  
Mohammed Laidi ◽  
Amine Semrani ◽  
...  

2020 ◽  
Author(s):  
Michail Schwab ◽  
David Saffo ◽  
Yixuan Zhang ◽  
Shash Sinha ◽  
Cristina Nita-Rotaru ◽  
...  

Tools and interfaces are increasingly expected to be synchronous and distributed to accommodate remote collaboration. Yet,adoption of these techniques for data visualization is low partly because development is difficult: existing collaboration software systems either do not support simultaneous interaction or require expensive redevelopment of existing visualizations. We contribute VisConnect: a web-based synchronous distributed collaborative visualization system that supports most web-based SVG data visualizations,balances system safety with responsiveness, and supports simultaneous interaction from many collaborators. VisConnect works with existing visualization implementations with little-to-no code changes by synchronizing low-level JavaScript events across clients such that visualization updates proceed transparently across clients. This is accomplished via a peer-to-peer system that establishes consensus among clients on the per-element sequence of events, and uses a lock service to grant access over elements to clients.We contribute collaborative extensions of traditional visualization interaction techniques, such as drag, brush, and lasso, and discuss different strategies for collaborative visualization interactions. To demonstrate the utility of VisConnect, we present novel examples of collaborative visualizations in the healthcare domain, remote collaboration with annotation, and show in an education case study for e-learning with 22 participants that students found the ability to remotely collaborate on class activities helpful and enjoyable for understanding concepts. A free copy of this paper and source code are available on OSF at osf.io/ut7e6 and at visconnect.us.


Author(s):  
Michail Schwab ◽  
David Saffo ◽  
Yixuan Zhang ◽  
Shash Sinha ◽  
Cristina Nita-Rotaru ◽  
...  

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