Vulnerability Zones
Definition
Vulnerability Zones are geographic areas used for analyzing and visualizing vulnerability levels. They divide the study region into discrete units that can be individually assessed and compared.
Purpose
Vulnerability zones serve several purposes in VERUS:
Provide a spatial framework for vulnerability calculations
Enable comparisons between different areas of a city or region
Create a standardized grid for visualization and mapping
Allow for spatial analysis of vulnerability patterns
Types of Vulnerability Zones
VERUS supports several types of vulnerability zones:
Hexagonal Grid: Regular hexagons of uniform size (most common)
Administrative Boundaries: Official boundaries like neighborhoods or districts
Custom Polygons: User-defined areas of interest
The hexagonal grid is often preferred because:
Hexagons have equal distance from center to all edges
They tessellate perfectly, avoiding gaps or overlaps
Their uniform size allows for fair comparison between areas
They’re not influenced by arbitrary administrative boundaries
Creation
Vulnerability zones can be created using the HexagonGridGenerator:
# Create a hexagonal grid with 250m edge length
grid_gen = HexagonGridGenerator(region="Porto, Portugal", edge_length=250)
hex_grid = grid_gen.run()
Attributes
Each vulnerability zone contains several key attributes:
Geometry: The spatial polygon defining the zone
Cluster: The urban cluster the zone belongs to
Vulnerability Level: The calculated vulnerability value
Normalized VL: Vulnerability scaled between 0-1 for comparison
Smoothed VL: Vulnerability after spatial smoothing
Importance in Analysis
Vulnerability zones transform point-based PoTI data into a continuous surface of vulnerability values, making it possible to:
Identify high-vulnerability hotspots
Compare different regions within a city
Track changes in vulnerability over time
Provide actionable insights for urban planning and emergency management