How is multi-criteria decision analysis (MCDA) used to select resilience investments with geospatial inputs?

• A. It ignores spatial data and focuses on aesthetics
• B. It only considers cost
• C. It compares options across spatially-referenced criteria, weights criteria, and ranks options to maximize total value given geographic constraints
• D. It replaces spatial data with random choices

Answer: (C)

MCDA in geospatial resilience planning combines multiple spatially referenced criteria to compare and rank investment options under geographic constraints. You define what matters for resilience—hazard exposure, population at risk, proximity to critical infrastructure, land use compatibility, ecological value, implementation risk, and social benefits—and gather the corresponding GIS data. Each investment option or site is scored on every criterion using the geospatial information, and those scores are normalized so they can be combined. The criteria are then weighted to reflect priorities, such as prioritizing high-exposure areas or equitable distribution of benefits. An overall score is calculated for each option by aggregating the weighted criteria, and options are ranked to identify those that maximize total value while respecting geographic limits like budget, land ownership, zoning, and regulatory constraints. This approach makes spatial trade-offs explicit and helps ensure that chosen investments deliver the greatest resilience impact where it matters most, rather than overlooking geography or focusing solely on cost.