GEOSPATIAL DATA SUPPORT FOR INFRASTRUCTURE INTERDEPENDENCIES ANALYSIS
ANTHONY F. ADDUCI, SCOTT D. BAILEY, AND RONALD E. FISHER
Argonne National Laboratory, Argonne, Illinois
1 INTRODUCTION
Geospatial data provide a unique and rich source of information on the distribution of both environmental and man-made assets and reveal specific themes of the earth’s surface. Such data are an element in almost all public decision-making processes [1]. Nonspatial data provide key attributes, such as the facility owner, size, and operational information, that augment geospatial data and provide additional insight for analysts. Geographic information system (GIS) and other visualization technologies are optimal solutions for displaying geospatial and nonspatial data. By providing a user-friendly, yet powerful, framework to quickly display data in varying layers at a variety of zoom levels, GIS presents a wide range of unique capabilities, such as thematic mapping, data overlay and synthesis, network analysis, geospatial modeling, and visual data exploration. Thus, the use of geospatial data and GIS are essential to the analysis of the many components that make up critical infrastructures and key resources (CIKR).
2 TECHNOLOGY OVERVIEW
Infrastructure interdependencies are complex to identify and analyze because of the vast infrastructure components that are involved and the complex interactions among them. (GISs) and other visualization technologies provide innovative ways to identify and analyze ...
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