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Spatiotemporal Hotspot and Outlier Analysis in New York City
Project type
GIS Project
Date
October 2024
Location
NYC
Tool Used: ArcGIS Pro
Skills Applied: Space-Time Cube, Emerging Hotspot Analysis, Local Outlier Analysis, 3D Visualization
Dataset: 8 Years of Graffiti Incidents in NYC
Course: GEOG 6700 – Quantitative Method and Spatial Analysis, Auburn University
Project Overview:
In this project, I explored temporal and spatial patterns of urban graffiti incidents in New York using ArcGIS Pro’s space-time cube tools. By constructing a 3D space-time cube and performing Emerging Hotspot and Local Outlier Analysis, I identified evolving clusters and anomalies over time. This approach helped visualize not just where but when high or low incident patterns occurred, offering valuable insights for urban planning and policy.
