BlackPrint Technologies · May 2025
Electoral and Socioeconomic Geospatial Analysis
Overview
Developed an advanced analytical platform integrating historical electoral data (2018-2024) with socioeconomic indicators at the block level for all of Mexico, allowing multidimensional analysis of electoral behavior. Implemented a frontend with React 18, TypeScript 5.0, and Mapbox GL JS v2.15 with custom extensions for interactive geospatial visualization and spatial analysis using Turf.js.
Highlights
- 01
Designed and implemented Python scripts with GeoPandas for geospatial ETL, shapefile transformation, and vector processing for geometric schema unification.
- 02
Processed more than 2.5M urban blocks from INEGI with more than 30 variables per entity, implementing AMAI classification algorithms for socioeconomic level calculation.
- 03
Implemented topological optimization with adaptive Douglas-Peucker simplification and generation of vector tiling schemes with efficient encoding.
Stack
- Geospatial Analysis
- Data Visualization
- React
- Python
- ETL
- GeoPandas
- Mapbox GL
- TypeScript
- Turf.js
- Data Processing
- Inventory Optimization
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