"Black Space and the Environment" is a dynamic 3D data visualization project inspired by W.E.B DuBois's 1900 exhibit "The American Negro". Focusing on Pennsylvania, the project uses color and spatial analysis to reveal the impact of environmental conditions on the state's Black population. The visualization draws on data from the American Lung Association's State of the Air 2022 report and the U.S. Census Bureau to highlight correlations between disease rates and Black population density. This project aims to analyze the differential impacts of certain conditions on Black Americans and invites viewers to consider ways to combat these disproportionate outcomes. The interactive visualization can be found at arjunphull123.github.io/black-space.

For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu This item is part of the University of Arizona Libraries 2023 Data Visualization Challenge and was awarded third place in the undergraduate category.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study was designed to investigate whether the presence of CCTV cameras can reduce crime by studying the cameras and crime statistics of a controlled area. The viewsheds of over 100 CCTV cameras within the city of Philadelphia, Pennsylvania were defined and grouped into 13 clusters, and camera locations were digitally mapped. Crime data from 2003-2013 was collected from areas that were visible to the selected cameras, as well as data from control and displacement areas using an incident reporting database that records the _location of crime events. Demographic information was also collected from the mapped areas, such as population density, household information, and data on the specific camera(s) in the area. This study also investigated the perception of CCTV cameras, and interviewed members of the public regarding topics such as what they thought the camera could see, who was watching the camera feed, and if they were concerned about being filmed.