{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T05:34:36Z","timestamp":1730871276580,"version":"3.28.0"},"reference-count":3,"publisher":"SciPy","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Within the Army Corps of Engineers (<jats:abbrev alt=\"United States Army Corps of Engineers\">USACE<\/jats:abbrev>), there is a need to evaluate tradespaces. Tradespace datasets are the result of large parameter sweeps run over numerous design options and can consist of thousands or even millions of design configurations and the corresponding performance metrics. Because of the immense size of these datasets, the ability to effectively visualize the data is essential for proper evaluation. At the <jats:abbrev alt=\"United States Army Corps of Engineers\">USACE<\/jats:abbrev> Engineer Research &amp;amp; Development Center (<jats:abbrev alt=\"U.S. Army Engineer Research &amp; Development Center\">ERDC<\/jats:abbrev>), an easy-to-use plotting tool known as the Tradespace Holistic Exploration &amp;amp; Insight Application (<jats:abbrev alt=\"Tradespace Holistic Exploration &amp; Insight Application\">THEIA<\/jats:abbrev>) has been developed for visualizing this complex tradespace data related to the acquisitions process. <jats:abbrev alt=\"Tradespace Holistic Exploration &amp; Insight Application\">THEIA<\/jats:abbrev> was developed using Python libraries including Panel, Param, Holoviews, Bokeh, and Plotly. When combined, these libraries offer a wide range of widgets and plots that allow the user to visualize their data in multiple ways. Additionally, users can easily save plots, export findings, and utilize multiple data files at once. <jats:abbrev alt=\"Tradespace Holistic Exploration &amp; Insight Application\">THEIA<\/jats:abbrev> is also capable of importing tabular data while presenting options to customize visualizations and help the end-user make informed decisions.<\/jats:p>","DOI":"10.25080\/rvrr7774","type":"proceedings-article","created":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T20:42:26Z","timestamp":1728074546000},"page":"345-348","source":"Crossref","is-referenced-by-count":0,"title":["THEIA: An Offline Tool for Tradespace Visualization"],"prefix":"10.25080","author":[{"given":"Samuel","family":"Williams","sequence":"first","affiliation":[{"name":"U.S. Army Engineer Research & Development Center"},{"name":"U.S. Army Corps of Engineers"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Scott","family":"Christensen","sequence":"additional","affiliation":[{"name":"U.S. Army Engineer Research & Development Center"},{"name":"U.S. Army Corps of Engineers"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marvin","family":"Brown","sequence":"additional","affiliation":[{"name":"U.S. Army Engineer Research & Development Center"},{"name":"U.S. Army Corps of Engineers"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"32550","published-online":{"date-parts":[[2024,7,10]]},"reference":[{"key":"panel","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.3706648"},{"key":"param","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.11046027"},{"key":"holoviews","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.10653612"}],"event":{"name":"Python in Science Conference","number":"23rd","location":"Tacoma, Washington","acronym":"SciPy"},"container-title":["Proceedings of the Python in Science Conference","Proceedings of the 23rd Python in Science Conference"],"original-title":[],"deposited":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T21:10:35Z","timestamp":1730841035000},"score":1,"resource":{"primary":{"URL":"https:\/\/doi.curvenote.com\/10.25080\/RVRR7774"}},"subtitle":[],"proceedings-subject":"Scientific Computing with Python","short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":3,"URL":"https:\/\/doi.org\/10.25080\/rvrr7774","relation":{},"ISSN":["2575-9752"],"issn-type":[{"type":"print","value":"2575-9752"}],"subject":[],"published":{"date-parts":[[2024,7,10]]}}}