As a systems thinker and someone with coding chops, I love to use data visualization to understand complex systems. Giving people a visceral feeling for their data engages the intuition, inspires creativity, and help us get to action more quickly.
This is a showcase of some of the visualizations I have created over the years as I’ve worked on issues from carbon emissions reductions, to zero waste cities, over-fishing and mapping social entrepreneurship ecosystems.
Social Entrepreneurship Ecosystem
These visuals evaluate the formation and strengthening of relationships over time, as local social innovators participated in a fellowship to develop their network. Visuals emphasize the strengthening and densification of connections in the network.
Carbon Emissions Intensity
I spend a lot of my time developing frameworks to encompass systemic data. These treemaps from Carbon Analytics show the distribution of supply chain carbon emissions for a utility organization across categories of suppliers, and can be resized by total emissions, total spend, and number of suppliers.
This can help strategically target outsized contributors of carbon emissions in the supply chain to make substantial impact on carbon efficiency. In the live visual, clicking on a category expands the rectangle to view the suppliers within.
Understanding Municipal Waste
I’ve looked at waste in a few ways, including prospecting for it with Terra Recovery. These visuals, created during a hackathon I participated in, showcase the distribution of Vancouver waste by material composition, and by region. The waste composition data is real, however the regional distribution was a proof of concept with dummy data only.
Causal Loops in Over-fishing
More of a systems tool than a data visualization, I use causal loops to identify drivers of chronic issues, intervention points, and potential repercussions. In this example it is not desirable to break the drivers of demand for seafood, so we focus on the behaviour driven by demand (right side).
Desired and unintended outcomes are mapped to see the second-order consequences of intervention, where greater uncertainty must be managed.
Behind the visuals – Open Data
In 2012, I co-authored the Concept of Operations for the “DataBC” Open Data portal of the Government of British Columbia. Open Data is an immensely important service that governments can provide to spur data-driven innovation. In this document we compare the provision of data by governments to a utilities like electricity and water. Check it out here.
I’ll keep this page updated with new visualizations as they come about. Interested to work together on a data visualization project? Email me at hello [at] gregfitzgerald.ca