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What data visualizations illustrate how this data set can be leveraged to characterize environmental injustice in different sett

albrowne

The data can very quickly show you how many facilities a geographical area may have. This can allow users to see how burdened a neighborhood for example may be with specific facilities.

What people, organizations or events were referred to, and what seemed to be the point?

albrowne

Groups referred to by Councilmembers and the Mayor were Madison Park Neighborhood Association (MPNA), Orange County Environmental Justice (OCEJ), and the University of California, Irvine (UCI). EJ groups such as MPNA and OCEj were mentioned by council members to explain which groups they have worked with. The mayor called out these groups to identify the EJ group that must provide the council with bullet points on their concerns. The mayor also referenced UCI to explain his disappointment in the school and said that he would expect better from the institution.

 

Meetings with these EJ groups were also mentioned heavily from council members Bacerra, Pendaloza, and Mayor Sarmiento. The point of referencing these meetings was to show council has held hundreds of meetings with EJ groups and still have not been offered any solutions or given any ideas for what the city plan update (CPU) should have in its EJ section.

What data visualizations illustrate how this data set can be leveraged to characterize environmental injustice in different sett

bmvuong

This figure shows a smaller window open within the California State Water Resources Control Board page on Cal Open Data Portal, providing straightforward access to an Excel document displaying a dataset within the state 2019 water quality status report that sampled 1,2,3-trichloropropane, a drinking water contaminant.

4. What data visualizations illustrate how this data set can be leveraged to characterize environmental injustice?

annlejan7

[Source: EM-DAT Public] This graphic shows the prevalence of technological disasters [includes toxic spills, industrial explosions, etc.] by country. This can be used to characterize, on a transnational level, where potential industrial harms are centralized or concentrated. While it does not characterize more insidious harms, such as air pollution, it can be a direct and easy to understand measure of environmental harm distribution across the globe. 

Additionally, data is available as excel sheets, which allows users to produce their own graphics on the prevalence of disasters within a particular nation over a desired time interval.