Description: These points represent police station facilities selected for service area modeling using Network Analyst in ArcGIS Pro. Only stations located within or near statistically significant arson hotspot clusters were included, ensuring realistic emergency coverage analysis. Each facility acts as a source location for the creation of 2-, 5-, and 10-minute travel-time polygons representing police response accessibility. This dataset supports emergency planning and hotspot-based risk mitigation for arson in Chicago.Temporal Scope: January 1 – December 31, 2020.
Copyright Text: Chicago Police Facilities (City of Chicago Data Portal, 2020)
SideOfEdge (type: esriFieldTypeInteger, alias: SideOfEdge, SQL Type: sqlTypeOther, nullable: false, editable: true, Coded Values: [1: Right Side], [2: Left Side])
CurbApproach (type: esriFieldTypeInteger, alias: CurbApproach, SQL Type: sqlTypeOther, nullable: false, editable: true, Coded Values: [0: Either side of vehicle], [1: Right side of vehicle], [2: Left side of vehicle], ... 1 more ...)
Status (type: esriFieldTypeInteger, alias: Status, SQL Type: sqlTypeOther, nullable: false, editable: true, Coded Values: [0: OK], [1: Not located], [2: Network element not located], ... 5 more ...)
Description: This dataset consists of individual arson incident locations reported in Chicago during the 2020 calendar year. Each point represents a geocoded event classified as an arson offense in the City of Chicago crime database. The dataset is used for spatial aggregation into community boundaries and provides the source counts for calculating arson rates per 1,000 residents.These incident points form the fundamental input for spatial statistics, including Getis–Ord Gi* hotspot analysis and Local Moran’s I cluster/outlier analysis. They also support visualization of event density and spatial patterns of fire-related criminal activity. Attributes typically include crime date, location, and offense classification.Temporal Scope: January 1 – December 31, 2020.
Description: This polygon layer displays the modeled travel-time service areas generated from police stations located in or near statistically significant arson hotspot communities in Chicago. Using Network Analyst in ArcGIS Pro, 2-, 5-, and 10-minute response zones were calculated along the Chicago street network. These polygons estimate areas that police units can reach within specified time thresholds, highlighting emergency accessibility to high-risk arson locations.The service area boundaries were created using selected police stations as facilities and modeled with travel-time impedance. Only realistic street paths were considered, with line, point, and polygon barriers applied automatically during routing. This dataset supports public safety planning, hotspot mitigation, and evaluation of emergency service coverage.Temporal Scope: January 1 – December 31, 2020.
Copyright Text: City of Chicago Data Portal (2020), ESRI Network Analyst
Description: This polygon boundary layer represents the official 77 community areas of the City of Chicago. It is used as the fundamental geographic unit of analysis in the arson clustering, hotspot mapping, and emergency response modeling performed in this project.The layer supports spatial joins with arson incident points, population data, and calculated arson rates. It also serves as the framework for spatial statistics including Getis–Ord Gi* hotspot analysis and Local Moran’s I cluster/outlier classification. These boundaries are essential for aggregating data consistently and producing reliable spatial comparisons among neighborhoods.Temporal Scope of Associated Analysis: January 1 – December 31, 2020.
Copyright Text: Chicago Metropolitan Agency for Planning (CMAP)
Description: This polygon or point classification represents Local Moran’s I analysis used to evaluate whether police coverage relative to arson hotspots forms clusters of well-served areas or outliers with limited service access. High-High clusters indicate areas with strong police coverage near hotspots, whereas High-Low outliers may show high crime risk with limited emergency accessibility. This analysis helps compare hotspot intensity to station accessibility and supports targeted law enforcement planning.
Copyright Text: ESRI Spatial Statistics Tools, City of Chicago Data
Description: This polygon feature class represents the results of Getis–Ord Gi* hotspot analysis applied to arson rates for Chicago community areas in 2020. The Gi* statistic evaluates each community area in relation to its neighbors to determine whether high or low arson rate values cluster more strongly than expected by random chance.Areas classified as "hotspots" exhibit significantly high arson rates surrounded by other high-rate communities, indicating possible localized fire-related crime risk. Conversely, “cold spots” represent clusters of lower arson rates. Statistical confidence levels (90%, 95%, and 99%) quantify the strength of each cluster.This dataset supports risk assessment, crime prevention prioritization, and further modeling of emergency service coverage for hotspot regions.Temporal Scope: January 1 – December 31, 2020.
Copyright Text: ESRI Spatial Statistics Tools, City of Chicago Crime Data (2020)
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Description: This polygon layer represents Local Moran’s I results derived from community-level arson rates in Chicago during 2020. The Local Moran’s I statistic identifies the nature of spatial relationships by comparing each community’s arson rate with the rates of surrounding neighborhoods.The output distinguishes four key spatial categories:• High–High clusters: Communities with high arson rates surrounded by similar high values.• Low–Low clusters: Communities with low arson rates surrounded by other low-rate areas.• High–Low outliers: Communities with high arson rates surrounded by low-rate neighbors (isolated hotspots).• Low–High outliers: Communities with low arson rates surrounded by high-rate neighbors (isolated safe areas).These classifications reveal spatial dependence, highlight unusual outlier neighborhoods, and complement Gi* hotspot analysis by identifying both concentrations of risk and exceptions to the broader pattern.Temporal Scope: January 1 – December 31, 2020.
Copyright Text: ESRI Spatial Statistics Tools, Chicago Crime Data Portal (2020),
Description: This polygon dataset represents arson rates normalized by population for the 77 community areas of Chicago. Arson incident counts were aggregated from geocoded point data and divided by community population to produce a rate per 1,000 residents. This ensures that comparisons between communities are not biased by differing population sizes.The arson rate field is the primary variable used for spatial statistical modeling, including Getis–Ord Gi* hotspot detection and Local Moran’s I cluster/outlier analysis. The dataset supports urban crime assessment, visualization of fire-related risk, and evaluation of emergency response accessibility.Arson Rate Formula:Arson Rate = (Total Arson Incidents / Community Population) × 1,00000Temporal Scope: January 1 – December 31, 2020.
Copyright Text: City of Chicago Crime Portal (2020), U.S. Census ACS Population Data