This project was part of a course on the challenges of urban environments. It was completed using ArcGIS Pro to match financial indicators of gentrification to block groups near urban parks.
As gentrification has become a growing phenomenon in the City of Tampa, this project examines whether park proximity may influence where gentrification is taking place. After identifying block groups near urban parks, growth rates of median house values and family incomes were calculated per block group. Mapping these growth rates together can help locate combinations of growth that may suggest gentrification.
With the growth calculations mapped, several patterns emerge. While most block groups show relatively lower rates of house value and income change, some areas have higher house values, higher incomes, or both. These patterns suggest where gentrification may be emerging, especially in areas where property values increase faster than resident incomes.
Mapping gentrification can help identify overall changes in a city and predict where urban growth is occurring within city limits. While insufficient data granularity may not provide exact locations for gentrification, the overall trends still show where these impacts are leading.
Nicholas Stanley 