The EO Dashboard allows users to independently explore indicators, but it relies on visual interpretations to understand what is changing and where. How could the Dashboard do a better job of highlighting significant change, and point the user in the right direction?
Our project simplifies existing visualizations and also helps provide a model for inferencing factors contributing to the change in the indicators' values. This framework can be applied across data of other domains as well.
Currently the Earth Observing Dashboard has multiple indicators for measuring a particular object. However, the way the visualizations are presented does not take into account other factors which could be contributing to the variation in the indicator's value. Our solution provides insights into these other factors and also provides a simplistic way for visualizing the indicators across space, using time series data.
#water quality, #visualization, #indicator
This project has been submitted for consideration during the Judging process.