As part of Google Summer of Code 2017, I started working with the Environmental Data & Governance Initiative (EDGI) in their effort to addressing threats to policy, research, and resources posed by the Trump administration.
Over the summer, I became a part of a team developing tools and resources to help preserve environmental data. My specific ongoing project involves data visualizations. You can read more about the work I did over the summer here.
EDGI and its affiliates work together to ensure the continued survival of environmental data by archiving it. The data being archived, while vital for preservation, is often overwhelming and confusing in the hands of the average individual. When your data points range from ten to hundreds of thousands, it’s hard for any one person to fully understand the scope of the project. Using D3, I create interactive graphs and models that help users understand the general overview of the data.
Here are the models I am working on:
Coverage Map - With thousands of datasets, it is impossible to show which sections have been fully archived and which need more work. This model creates a Sequence Sunburst highlighting archival rate across data points.
DataRescue Map - EDGI hosts several DataRescue events around the country with the goal of identify and preserving different datasets. This model creates a projection of the United States highlighting interactive points across the country with DataRescue events.
For more information and resources, check out the links below.
Any open source software distrubuted by Rated Awesome is under the GNU License.