Visual and Analytic Work Samples

My scientific background has given me a strong foundation in explaining concepts and interpreting large amounts of data. I believe I have further developed an ability to take raw data, concepts, or ideas and translate them into strong graphics. Some examples of larger research projects and smaller graphics are below. 

 

Transit-Oriented Development (TOD) Friendliness for the Region's Rail Stations
From Untapped Potential: Opportunities for Affordable Homes Near Transit RPA, 2017
This work is original analysis based on data collected by RPA which determines how multifamily friendly the zoning within 1/2 mile of the region's rail stations. Station Scores range from not allowing multifamily development at all (0), to allowing a moderate amount of density (3). Further density and correlations with race and income can be found in the full report, which also includes the build-out potential for all of the parking lots near these rail stations.  

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Displacement Risk Index
From Pushed Out: Housing Displacement in an Unaffordable Region, RPA 2017
Working with RPA's New York Director, we developed a predictive index for risk of residential displacement. Unlike previous attempts to quantify where gentrification is happening now, this index attempts to uncover where residential displacement due to gentrification is likely to happen in the future. The index is composed of three components: (1) economic vulnerability - low income renters and housing cost burdened households; (2) neighborhood desirability/access – walkability (Walkscore) and jobs accessible by transit; and (3) a measure of market shift, to attempt to find where within neighborhoods identified by the first two factors might be seeing the effects of gentrification now. 

 
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Announced rezoning areas compared to areas at risk of displacement.
From Inclusive City: Strategies to Achieve more Equitable and Predictable Land Use in NYC. RPA, 2018.

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Segregation Analysis by Census Tract
RPA, 2016

Based on HUD's Fair Housing Equity Assessment (FHEA) methodology, I attempted to show the deep lines of segregation throughout the region in an easily digestible format. This map is also featured in a CityLimits article. 


Employment-Driven Population Projections for Future Scenarios Process
RPA, 2016

From Charting a New Course: A Vision for a Successful Region, RPA 2016
While we were beginning the process around RPA’s Fourth Regional Plan, we devised population projections for the NY-NJ-CT region. I was heavily involved throughout this process, and developed RPA’s cohort component population projections. These were based on both employment projections from Moody’s Analytics (as an “aspirational” or “vision” scenario) and an adjusted projection based on “business-as-usual” if the region cannot build enough housing for population demand. Further methodology and results can be find in the report. 

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Historic Census Data Analysis of NYC and Williamsburg/Bushwick/Bed-Stuy, 1960-2010
Fall 2014

View PDF: New York City
View PDF: BK Community Districts – CD 1 (Williamsburg/Greenpoint, CD 3 (Bed-Stuy), and CD 4 (Bushwick)