Speaker
Description
Essential Biodiversity Variables (EBVs) and Essential Climate Variables (ECVs) are best provided as spatiotemporal data. When these data are structured on regular spatial and temporal grids, they are known as Analysis Ready Data Cubes (ARDCs). Recent developments in the Earth observation community have led to broad adoption of ARDCs, facilitated by cloud-native data formats that support efficient hosting and querying of very large datasets.
However, a major challenge remains: how can we build intuition for such high-dimensional data? To address this, novel visualization and data exploration tools are needed. Over the past years, we have developed Lexcube.org – an interactive web-based platform that allows users to explore large ARDCs interactively without coding or technical barriers, as well as an open-source Python package aimed at scientists with the same capabilities. However, limited to regular computer displays, both applications offer only a two-dimensional interface for what is fundamentally three-dimensional data.
Here, we present the first interactive touch-enabled physical data cube, enabling users to explore spatiotemporal datasets through multiple touchscreen interfaces. We hope this new approach inspires the iDiv community to engage more deeply with large spatiotemporal data cubes to enhance ecosystem assessments and analysis capabilities.
The cube will be physically available during the meeting and can be explored by the visitors.
| Status Group | Doctoral Researcher |
|---|---|
| Poster Presentation Option | No, I prefer to present only as a talk. |
