Academic Project Spatial statistics
Dinámicas Espaciales en la Incidencia de Robos en la Ciudad de México en 2024
Summary
A spatial analysis of theft and homicide incidence in Mexico City during 2024 using global Moran’s \(I\), LISA, and a bivariate approach. The bivariate theft–homicide association is reported as \(I=0.11\) with \(p=0.205\), while local results distinguish HH, LH, LL, and non-significant areas.
Context
The report studies whether theft follows a significant spatial pattern and how local context differs across Mexico City boroughs.
Main contributions
- Applies global Moran’s (I) and local LISA indicators to theft and homicide data.
- Identifies high-high, low-high, low-low, and non-significant local patterns.
- Reports the bivariate association between theft and homicide as (I=0.11), (p=0.205).