Alice Hudson Award - Gallery of Best Interactive Map Awardees

 

2021

The Brooklyn Health Map
by Sheena Philogene

http://sunsp.net/demo/p/

This map was initially developed to answer the question, 'what areas of Brooklyn have a high prevalence of cancer cases?' and to inform the development of culturally competent and targeted healthcare outreach initiatives. As the map developed its purpose developed, since cancer is so closely linked to various health behaviors (e.g., smoking, drinking, obesity, etc.) and comorbidities (e.g., diabetes, heart disease, and kidney disease). As such, the purpose of this map is to provide local level information about a wide array of health conditions, including cancer and some of the commonly associated comorbidities and behaviors that may lead to cancer.

Intended Audience: This map is intended for a broad Brooklyn-based audience, which may include researchers, medical professionals, community organizations interested in developing community targeted health interventions, and individuals who are interested in community health but who don’t necessarily work in healthcare.

Software Used: This map was created using Visual Studio Code, and was built using JavaScript, CSS, and HTML. ArcGIS Pro was used to geocode data and export GeoJSON files. Microsoft Excel was used to calculate zip code level estimates of language data, using HUD-USPS 'ZIP-TRACT' ZIP Code Crosswalk ratios

Data Sources:

  • PLACES: Local Data for Better Health, Census Tract Data 2020 (https://chronicdata.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh)
  • 2014 American Community Survey: Language Spoken At Home by Ability to Speak English for the Population 5 years and Over - TableID: B16001
    (https://data.census.gov/cedsci/table?q=language&g=0500000US36047.140000&tid=ACSST5Y2014.S1601&moe=false&hidePreview=true)
  • HUD-USPS 'ZIP-TRACT' ZIP Code Crosswalk [First Quarter 2021]
    (https://www.huduser.gov/portal/datasets/usps_crosswalk.html)

 


2020

New York City Public School Explorer
by Horia Popa

https://xtrudio.github.io/nyc_schools

The web map application provides information regarding public schools in New York City.

Intended Audience: Parents and students interested in the public schools in New York City.

Software Used: Visual Studio Code, Adobe Photoshop, Adobe Illustrator

Data Sources: NYC Open Data


 

New York City High School Explorer
by Horia Popa

https://xtrudio.github.io/nyc_highschools

The web mapping application aims to help parents and students in New York City chose a high school. It provides comprehensive information as well as links to their websites and the respective DOE snap-shot pages.

Intended Audience: New York City middle school students and their parents.

Software Used: Visual Studio Code, Adobe Photoshop, Adobe Illustrator

Data Sources: NYC Open Data

 


2019

Visualizing School Closures in Puerto Rico (2019)
by Paul Bendernagel

http://sunsp.net/demo/B/

The objective of this stdy was to utilize tools contained within the free and open source GIS stack to analyze school closure and performance data for Puerto Rico. Puerto Rico has been embarking on an ambitious school closure program to consolidate teaching resources and has increased the number of schools closed dramatically in the 2018-2019 school year. Using a variety of spatial and non-spatial data sources, this study attempted to examine the trends in school closure patterns, identify potential inequities in the distribution of school closures, and develop a WebGIS to disseminate the information and data developed in this study. Policy makers, researchers, and citizens are hindered by the lack of publicly available data pertaining to these far-reaching programs being implemented in Puerto Rico. Creating open data portals and Web GISs enables individuals to not only find out how these programs may be affecting them, but to critically understand, evaluate, and potentially fight back against legislation that could adversely be affecting them or their families and communities.

This webGIS provides an inherently simplified perspective on a complex socio-political issue. The utilization of the Social Vulnerability Index serves as a proxy for the wide range of socioeconomic, demographic, and environmental variables that can interact to marginalize populations on the Island. The five-mile buffer layers created for the open elementary schools, middle schools, and high schools function as a preliminary screening to find locations in which students may be subjected to disproportionately lengthy and disruptive school transfers. The complexity of the analysis and breadth of data included in this map could be scaled up and built upon in future iterations of development. The primary goal in building this application was to demonstrate a viability of a completely open-source methodology that utilizes only open-source data to empower citizens to collect, analyze and visualize complex and contentious spatial problems facing their communities.

Intended Audience: citizens, policy makers, educators, activists, and media

Software Used: QGIS, PostGIS, Leaflet.JS, MS Visual Code Studio

Data Sources:

  • School Closure Data, point locations, and facility data: Center For Puerto Rican Studies Hunter College Data Center: http://www.arcgis.com/home/webmap/viewer.html?webmap=e72119d2f9d347899cc2d221d4bec45a&extent=-70.6398,15.9789,-62.5263,20.3927
  • Social Vulnerability Index: Center For Disease Control https://svi.cdc.gov/data-and-toolsdownload.html
  • Buffer boundaries were manually created in QGIS and exported as GeoJSON files