This project was originally started as a final project for my graduate planning methodology class. However, since the conclusion of the class I turned the report into a blog post which has gained traction among resilience professionals.

Below is the Project Abstract:
The study investigates the effects of the 1937 HOLC “redlining” of Miami, FL on the present-day value per acre (VPA) of parcels in Miami city limits. The research was conducted to better understand the long-lasting impacts on generational wealth that redlining has imparted. By overlaying historic redlining districts on current parcel geospatial data, I was able to generate a database of each parcel’s assessed VPA and its associated historic HOLC grade. The data base was then put through a statistical analysis using R software. Results indicate that HOLC redlining in the 1930s has a significant effect on toady’s parcels VPA. Successive grades are associated with a negative influence on VPA, with redlined parcels having an average VPA $345,300 dollars lower than non-redlined properties. Miami, Fl should consider how redlining has affected parcels values and consequently taxable values in their city. Through better understanding of areas that have experienced continued disinvestment Miami may be able to focus more efficiently on economic development and hazard mitigation while avoiding disparate social impacts.

The project utilized ArcGIS Pro, RStudio statistical software, Excel, and Adobe Photoshop.

While I was working as a geospatial analyst with Urban3 I was assigned to the project of modeling economic productivity for the entire state of New Hampshire. The main dataset that was analyzed was parcel data from counties across the state. Due to datasets coming from various municipalities there was a large amount of data-cleaning required before any analysis could be done. Once the first initial data-cleaning and combining of data-sets was finished the data-set totaled over 500,000 polygons. A second pass at cleaning and utilizing Urban3 methodology was then executed to craft a dataset which a thorough economic analysis could be performed .

Analysis results were combined with an array of 2D and 3D graphics illustrating city and county tax productivity by development type. The analysis then compared all 10 counties amongst themselves. Presentations were then created creating a narrative of each county's/cities unique opportunities and challenges. These presentations were presented to state representatives along with the general public in Fall 2020.

The project utilized ArcMap, ArcScene, Adobe InDesign, and Adobe Photoshop.