Aperture: a system for interactive visualization of voluminous geospatial data Article Swipe
The growth in observational data volumes over the past decade has occurred alongside a need to make sense of the phenomena that underpin them. Visualization is a key component of the data wrangling process that precedes the analyses that informs these insights. The crux of this study is interactive visualizations of spatiotemporal phenomena from voluminous datasets. Spatiotemporal visualizations of voluminous datasets introduce challenges relating to interactivity, overlaying multiple datasets and dynamic feature selection, resource capacity constraints, and scaling. Our methodology to address these challenges relies on a novel mix of algorithms and systems innovations working in concert to ensure effective apportioning and amortization of workloads and enables interactivity during visualizations. In particular our research prototype, Aperture, leverages sketching algorithms, effective query predicate generation and evaluation, avoids performance hotspots, harnesses coprocessors for hardware acceleration, and convolutional neural network based encoders to render visualizations while preserving responsiveness and interactivity. Finally, we also explore issues in effective containerization to support visualization workloads. We also report on several empirical benchmarks that profile and demonstrate the suitability of our methodology to preserve interactivity while utilizing resources effectively to scale.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://hdl.handle.net/10217/219537
- https://hdl.handle.net/10217/219537
- OA Status
- gold
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3131977198
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3131977198Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.25675/3.03009Digital Object Identifier
- Title
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Aperture: a system for interactive visualization of voluminous geospatial dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Kevin BruhwilerList of authors in order
- Landing page
-
https://hdl.handle.net/10217/219537Publisher landing page
- PDF URL
-
https://hdl.handle.net/10217/219537Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/10217/219537Direct OA link when available
- Concepts
-
Geospatial analysis, Visualization, Computer science, Computer graphics (images), Data visualization, Data science, Geology, Remote sensing, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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20Other works algorithmically related by OpenAlex
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