Nine Days Naptown ESRI shapefile references and GeoDa “.gda” workfile

Title of reference article:
Nine Days of Naptown Arrests: How and Why Spatial Data Should Discomfort Us
Author J. Kevin Byrne
Date authored: August 23, 2020
Abstract: During nine successive days in 2019 Indianapolis (IN) police made arrests across six districts. Exploratory spatial data analysis (ESDA) revealed how variables of arrests, race, aggressive use of force (UOF), injuries, and their location interact with each other. Scatterplots with R-squared values > 0.6 suggested aggressive UOF contributed to injuries of arrested residents across all races, Caucasian officers may have excessively injured arrested residents, and aggressive UOF correlated with arrests of African-Americans. Findings for parallel-coordinate-plots dove deeper in terms of spatial implications and ethical considerations (e.g., by visually demonstrating presence of a cluster of observed residents’ arrests as coinciding with African-American census geodemographics). This “small-sample” can surprise the reader. My conclusion proposed two aims: 1) solidify hypotheses (for further ESDA) that may induce ethical discomfort (a good thing) pertaining to the subject of structural racism, and 2) use findings to usher civic policymakers down more strident paths to sociocultural change.

Indianapolis (IN) police districts and zones shapefiles that were made public by ESRI were used by way of my ESDA.

Path to shapefiles’ source:
http://data.indy.gov/datasets/indianapolis-police-zones
N.B.: Safari web-browser not recommended.

Shapefile metadata are here: https://www.arcgis.com/home/item.html?id=b59421675f2a40fda9b00beeb875996f

Using GeoDa I did a spatial join that permitted my ESDA to analyze variables with scatterplots, PCPs, and datamaps. My final GeoDa file – titled NapWorksProj.gda – is herewith.

Also herewith are my GeoDa's shapefiles – created natively – titled as follows:
· NapWorks.cpg
· NapWorks.dbf
· NapWorks.prj
· NapWorks.shp
· NapWorks.shx