Proxy Security Risk Index Proxy Security Risk Index

Overview

Designed a multi-factor geospatial proxy security index at the neighborhood (colonia) level for Ecatepec, modeling spatial crime correlation and public exposure metrics.

Highlights

1. 01

   Engineered a GeoPandas ETL pipeline integrating population census data (INEGI), business directories (DENUE), major transit corridors, and municipal crime figures (SESNSP).

2. 02

   Calculated normalized per-capita exposure indices using WGS 84 / UTM Zone 14N projections and classified risk levels via Jenks Natural Breaks.

3. 03

   Conducted advanced spatial autocorrelation using Local Moran's I (LISA) to detect crime spillover effects and hotspots near inter-municipal transit terminals.

Stack

• Python
• GeoPandas
• QGIS
• mapclassify
• Spatial Statistics
• Moran's I (LISA)
• Kernel Density Estimation