This thesis develops and evaluates a GIS-based climate labeling system designed to help municipalities monitor and assess local climate resilience. The system converts open climate data into postcode-level A–E labels across four core themes: water nuisance, heat, drought, and flooding. The municipality of Kaag en Braassem serves as a pilot case.

A phased design approach was applied. A literature review established a quality framework for adaptation indicators, based on four criteria: relevance, reliability, clarity, and connectivity. An analysis of Dutch policy and tools clarified the institutional context and identified four key design requirements: integrated insight across themes, usability at local scale, flexibility for customization, and municipal ownership. Selected indicators were processed in ArcGIS Pro using ArcPy to generate PC6-level maps, classified on a standardized A–E scale, and visualized in an interactive dashboard built with ArcGIS Experience Builder.

The system was tested in a workshop with fourteen municipal staff, who compared two postal code areas and assessed usability along the ISO 9241-11 dimensions of effectiveness, efficiency, satisfaction, and applicability. Results indicate that the prototype successfully visualizes spatial differences, supports reflection on underlying causes, and facilitates discussion of potential measures. The developed system offers a transparent, reproducible, and locally applicable foundation for monitoring and evaluating climate resilience.