1 20 1 https://repository.nyitlibrary.org/files/original/9f772264b8903181e4efd9b899b0a70e.pdf b76bfc40db5c04243c087decdb96e711 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource College of Engineering & Computing Science Thesis A long essay or dissertation involving personal research, written by a candidate for a college degree. School College of Engineering & Computer Science Department Department of Computer Science Degree Master of Science in Data Science Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using Geospatial Visualization Techniques to Uncover Underlying Disparities in Air and Water Quality in the Redlined Areas of New York City Creator An entity primarily responsible for making the resource Nxumalo, Neo L. Date A point or period of time associated with an event in the lifecycle of the resource 2026 Language A language of the resource English Abstract A summary of the resource. This study is about identifying the potential environmental disparities in neighborhoods in New York City that were redlined. This research aims to identify any potential disparities specifically in the quality of air and water in neighborhoods in New York City. Using descriptive analytics on publicly available data from NYC Open Data, bar charts, time series graphs, and folium maps, were created to uncover any patterns in water quality and air quality. The key findings indicated that the water quality issue seen in all areas of interest may be city wide issues and are barely indicative of any real disparity. Data pertaining to emergency room visits in the areas of interest was a significant indicator of the drastic difference in air quality, with redlined neighborhoods having greater total emergency room visits due to ozone and particulate matter, PM2.5. In addition to the analysis done on air and water quality data, there was also population data that included racial demographic data. This was plotted onto several different choropleth maps and this revealed that the spread of non-Hispanic white people was lower in the redlined areas but higher in some of the greenlined areas such as the Upper East side, Forest Hills and Riverdale. As for the rest of the populations, the highest populations of each group tended to be spread across all four redlined areas with the highest populations being in Jamaica, Queens Bedford Stuyvesant, Melrose, and Harlem. Format The file format, physical medium, or dimensions of the resource PDF Identifier An unambiguous reference to the resource within a given context https://repository.nyitlibrary.org/files/original/9f772264b8903181e4efd9b899b0a70e.pdf Publisher An entity responsible for making the resource available Old Westbury, N.Y. : New York Institute of Technology, 2026. Type The nature or genre of the resource Thesis Subject The topic of the resource Geospatial data Cartography—Data processing Geographic information systems Air—Pollution—Maps Air quality management Water quality—New York (State)—New York Water—Pollution—New York (State)—New York Water quality management choropleth geospatial New York City redlined