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Identifying Need and Suitability for Green Roofs in NYC

Azavea | The Nature Conservancy in New York

June - August 2019

Tools: QGIS, R, OrfeoToolBox, GDAL, Figma

Project goals: 

  • Identify New York City buildings that are suitable for green roof installation

  • Assess need for the social and environmental benefits of green roofs across New York City at the Neighborhood Tabulation Area (NTA) level 


    In this analysis, I identified 20,975 New York City buildings as meeting structural requirements for green roof installations that would satisfy criteria for the highest tier of funding under the NYC Department of Environmental Protection's Green Infrastructure Grant Program. This represents nearly 200 million total square feet of potential new green rooftop area, nearly 60 million square feet of which are located in NTAs in the 75th percentile of a prioritization model. The model ranked NTAs based on the level of need for the benefits that green roofs provide in mitigating combined sewer overflow events, improving access to green space, and reducing the urban heat island effect.


The highest-potential, highest-priority areas included large portions of the Bronx and Queens.

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Mapping Determinants of Economic Self-Sufficiency and Well-Being in Philadelphia


Azavea | Congreso de Latinos Unidos, Inc.

June - August 2019

Tools: R, QGIS, Figma

Project goals:

  • Identify Philadelphia neighborhoods with high unmet need for Congreso's existing services

  • Identify potential need for new program offerings

  • Assess the overlap between Pan American Academy Charter School (PAACS) enrollment and participation in Congreso services

   The data products developed in this project help guide Congreso's outreach efforts and program development by identifying neighborhoods where participation in Congreso's services is lower than expected given available demographic data and the organization's mission. I cleaned and geocoded Congreso's client records, aggregated the individual records to Census block groups, and produced an estimate of the percentage of the population currently receiving Congreso services. I then assigned scores to each block group representing the level of need for services in each of Congreso's three program areas, based on metrics determined in collaboration with Congreso staff. Data for these metrics came from the CDC's 500 Cities Project and the 2017 American Community Survey 5-Year demographic estimates. 

   Additionally, I produced a series of bivariate choropleth maps highlighting the neighborhoods in which PAACS students and their families are least active in Congreso’s other programs. These maps help Congreso coordinate outreach to families of PAACS students for their Education and Workforce Services, Family and Housing Services, and Health and Wellness Promotion programs.

Population and Tree Cover Change in the Kigezi Highlands of Uganda

GEOG328: GIS and the Developing World

Spring 2018

Tools: QGIS, SQLite/SpatiaLite, SAGA GIS

Data sources:

  • Uganda Bureau of Statistics (2002 district population estimates crosswalked to 2014 boundaries, 2014 district population estimates)

  • Uganda Energy Sector GIS Working Group (2014 district boundaries shapefile)

  • Landsat 7 and Landsat 8 imagery


    In this analysis of district-level census data and remotely-sensed imagery, I found that population and tree cover both increased between 2002 and 2014 in four of Uganda's fastest-growing districts. This work builds upon previous survey-based and remote-sensing research suggesting that the longstanding academic and popular perception of an inverse relationship between population and tree cover is inaccurate for the Kigezi Highlands region of Uganda. 

Prioritizing Wetland Restoration in Harris County, TX

GEOG326: GIS for Environmental Science and Management

November 2017

Tools: ArcGIS Desktop, Adobe Illustrator, Adobe InDesign

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