论文标题
错误:用于数字露头分析的交互式数据驱动的相关面板
InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis
论文作者
论文摘要
对古代可居住环境重建的3D数字露头模型(DOMS)的地质分析是即将到来的ESA Exomars 2022 Rosalind Franklin Rover和NASA 2020 Rover毅力任务的关键方面,在寻求Mars的过去的迹象。地质学家测量和解释3D DOMS,创建沉积物原木并将它们组合在“相关面板”中,以绘制关键地质视野的范围,并建立一个地层模型,以了解它们在古代景观中的位置。当前,相关面板的创建是完全手动的,因此耗时且不灵活。对于Invorr,我们提出了一个可视化解决方案,该解决方案包含一个3D记录工具和一个通过地层分析发展的交互式数据驱动的相关面板。为了创建Invorr,我们以设计研究的形式与领先的行星地质学家密切合作。我们通过使用错误重新创建现有的相关分析来验证我们的结果,并根据手动创建的插图来验证我们的相关面板。此外,我们与更广泛的地质学家一起进行了用户研究。我们的评估表明,错误有效地支持领域专家解决他们的研究问题,并且它有可能显着影响地质学家使用数字露头代表的方式。
Geological analysis of 3D Digital Outcrop Models (DOMs) for reconstruction of ancient habitable environments is a key aspect of the upcoming ESA ExoMars 2022 Rosalind Franklin Rover and the NASA 2020 Rover Perseverance missions in seeking signs of past life on Mars. Geologists measure and interpret 3D DOMs, create sedimentary logs and combine them in `correlation panels' to map the extents of key geological horizons, and build a stratigraphic model to understand their position in the ancient landscape. Currently, the creation of correlation panels is completely manual and therefore time-consuming, and inflexible. With InCorr we present a visualization solution that encompasses a 3D logging tool and an interactive data-driven correlation panel that evolves with the stratigraphic analysis. For the creation of InCorr we closely cooperated with leading planetary geologists in the form of a design study. We verify our results by recreating an existing correlation analysis with InCorr and validate our correlation panel against a manually created illustration. Further, we conducted a user-study with a wider circle of geologists. Our evaluation shows that InCorr efficiently supports the domain experts in tackling their research questions and that it has the potential to significantly impact how geologists work with digital outcrop representations in general.