Document Type
Poster
Publication Date
Fall 2024
Abstract
This data analytics project explores the relationships between park distribution, income levels, and population in Miami, Florida. Data were collected from multiple sources, including the U.S. Census Bureau, Miami-Dade GIS, and other public databases. The data were then visualized using Tableau to identify trends and patterns related to parks. The visualizations revealed that low-income areas have fewer overall parks, a significant number of “mini parks,” and are underserved relative to their population density. The findings of this project highlight inequalities in park allocation and call for policymakers to leverage this information to create equity-driven investments in low-income, high-density communities, ensuring access to safer and higher-quality parks.
Recommended Citation
McCloud, Andre and Elkins, Katherine, "Park Inequality in Miami: How Income and Population Density Shape Access to Green Spaces" (2024). IPHS 200: Programming Humanity. Paper 73.
https://digital.kenyon.edu/dh_iphs_prog/73
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.