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and scanned charts; and Text Product Standard (TPS), which uses SGML-based standard for textual information such as sailing directions. Having demonstrated that object-oriented technology easily accommodates the complexity of the spatial data, the next milestone for NIMA and DMAP was to provide a vehicle for distribution. As the Web technology began to advance with the rise of the Java programming language and object-oriented standard committees such as the Object Management Group (OMG), DMAP was able to prototype spatial information distribution over the Web. This was through an area-of-interest (AOI) application called the Geospatial Information Distribution System (GIDS). The GIDS provides all available information over the specified AOI independent of the data type. Some of the more diverse data types handled by the GIDS include ESRI's shape file format, video clips, audio clips, and other industry standards such as tiff, gif, and jpeg. Adding these to the GIDS was relatively simple due to the object-oriented nature of the data model. Much of the work to date has been the database design to accommodate the multiple spatial data types, the development of a Web applet for map display, and the implementation of query mechanisms. While this work has concentrated on two-dimensional mapping, the need for the three-dimensional representation of some geographic entities to support mission preparation and rehearsal especially in an urban setting is also present. Thus DMAP, in conjunction with the University of New Orleans, proceeded to research and design a 3D spatial data model, called VPF+. This chapter describes the overall system and database design. As an example, an actual experimental situation, the March 1999 Urban Warrior Experiment (UWE), is used to demonstrate the use of GIDS. Furthermore, the VPF+ data model, as well as its applicability in the UWE, is presented.

Figure 20.1 shows the numerous concurrent MISSION SYSTEM and SUPPORT SYSTEM operations that occur throughout the pre-mission, mission, and post-mission phases. Concurrent operations require synchronized, simultaneous interactions between the MISSION SYSTEM (e.g., the Space Shuttle) and the SUPPORT SYSTEM (the ground/ ight controllers, communications systems, etc.). Interoperability between the MISSION SYSTEM and SUPPORT SYSTEM is crucial to mission success. Recognize that Figure 20.1 is simply an analytical tool to understand which operational tasks are performed by the MISSION SYSTEM and SUPPORT SYSTEM by operational phase.

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Back when computers were room-sized and required large amounts of power and cooling, they lived in glass rooms with raised floors, in one central location. People were required to go to the computers (either physically or via terminals) rather than taking them along with them like we can do today. As computers got smaller and cheaper, they moved out into people s offices and to locations remote from company headquarters, placing the computing power closer to the user and giving the control (and, generally, the responsibility) to the user departments. As more computers left the management and control of the Management Information Systems (MIS) organization (as it was called at that time), the decentralization of IT management began. It quickly became apparent that while decentralization often gave users departments the ability to respond more quickly to business needs, it also created technical systems-management challenges that were often beyond the department s

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MISSION SUPPORT MISSION SUPPORT MISSION SUPPORT SYSTEM SYSTEM SYSTEM SYSTEM SYSTEM SYSTEM Elements Elements Elements Elements Elements Elements

Object-oriented technology was chosen to handle the complexity of spatial data. Some spatial data such as VPF produced by NIMA already is designed as relational data. A minimum of nine tables is used to define one point feature; at minimum, sixteen tables are used to define one polygon feature. Rather than considering a feature as rows of nine to sixteen tables, an object-oriented approach allows data manipulation and management at a feature level. An analogous point feature object would have the same values that are defined from the rows of nine tables, as an example, for a specific feature; however, instead of having to access feature information from different rows of different tables for a given feature, a single access to a feature object would provide all the information for that given feature. The complexity of spatial data is also due to the stored topology (i.e., immediate neighbor information). When the geometry of a feature changes in any manner, this requires the stored topology to be recomputed. Recomputation implies a change to table columns for a certain row. Due to the dependency on other related tables, recomputation may require several tables to be changed. Recomputation may also affect adjacent feature information. Tables related to the adjacent feature may also be modi-

3.0 Deploy System 4.0 Conduct Training Decision 5.0 Mission Notification Decision 6.0 Configure System for Mission 7.0 Assess Mission Readiness 9.0 Mission Go-Ahead Decision 10.0 Conduct System Mission 13.0 Assess Mission & System Performance 14.0 Deactivate System Decision 16.0 Replenish System Decision 17.0 Conduct System Training 18.0 Redeploy System Decision 20.0 Perform System Maintenance 21.0 Deactivate / Phase-Out System

2

Figure 20.1 Mapping Operational Tasks to MISSION SYSTEM and SUPPORT SYSTEM Elements as a Function of

The Geospatial Information Distribution System (GIDS) 3 5 9

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