Algorithms for spatial analysis and interpolation of discrete sets of Critical Infrastructure hazard data

The paper proposes several algorithms for interpolation and spatial filtering of discrete sets of Critical Infrastructure (CI) hazard data. The effectiveness of the algorithms has been exemplified on sample CI criticality results computed using the CARVER2^™ vulnerability assessment tool for several infrastructures in the City of Gdansk. The results of this analysis are produced in the form of thematic layers designed for integration with the Web-Based Geographic Information System (Web-GIS) for Assessment and Visualization of Critical Infrastructure and its Hazards, built for the City of Gdansk by the Gdansk University of Technology. The presented algorithms further enhance the spatial analysis capabilities of the Web-GIS, offering an integrated solution for visual analysis of CI data as well as a team-enabled environment for examination and sharing such information among geographically distributed decision makers.