that they can be queried and mined by decision makers and stakeholders.
Advanced search engines, pattern recognition algorithms, artificial neural
networks (Babovic and Bojkov 2001), and other knowledge management
agents would have to be employed to make efficient use of these repositories and catalog services. Current catalogs and inventories of available
models and analysis tools, along with a set of well-documented case studies,
would have to be established, as well.
12.2.6 Requirements for Toolkit Functionality
For toolkit(s) to support the different user communities, they must
• Integrate predictive capabilities (modeling and simulation), data management, GIS, visualization, and heuristics into a decision support
framework
• Have collaborative functions (such as multiuser viewing and manipulation of archived data) to augment multiple-stakeholder use
• Support protocols for interoperability so that modeling results will
interact seamlessly with other analysis tools within the toolkit
• Provide methods to aggregate technical data to facilitate data usage
• Provide an efficient means to evaluate alternatives and propose new ones
as part of the decision-making process
• Link effectively to business processes of differing, and often highly
disparate, users
• Provide three-dimensional (3-D) visualization and animation capabilities
• Provide Web (Internet) accessibility and functionality
• Support the elements of the decision process (as discussed in more detail
below)
• Aid the selection of appropriate modeling and analysis tools (e.g.,
empower “smart” buying)
• Provide a repository of lessons learned
• Facilitate completion of place-based (e.g., site-specific) decision-supportsystem development
• Provide a means for incorporating decision constraints and rules within
the overall computational toolkit
• Provide statistical and data-mining tools for manipulating and querying
potentially large databases
12.2.6.1 Documentation
The tools in any toolkit should be fully documented. The documentation
should
• Describe the particular tool in detail and prescribe its correct application
in relation to environmental resource management
230
Jeffery P. Holland et al.
Advanced search engines, pattern recognition algorithms, artificial neural
networks (Babovic and Bojkov 2001), and other knowledge management
agents would have to be employed to make efficient use of these repositories and catalog services. Current catalogs and inventories of available
models and analysis tools, along with a set of well-documented case studies,
would have to be established, as well.
12.2.6 Requirements for Toolkit Functionality
For toolkit(s) to support the different user communities, they must
• Integrate predictive capabilities (modeling and simulation), data management, GIS, visualization, and heuristics into a decision support
framework
• Have collaborative functions (such as multiuser viewing and manipulation of archived data) to augment multiple-stakeholder use
• Support protocols for interoperability so that modeling results will
interact seamlessly with other analysis tools within the toolkit
• Provide methods to aggregate technical data to facilitate data usage
• Provide an efficient means to evaluate alternatives and propose new ones
as part of the decision-making process
• Link effectively to business processes of differing, and often highly
disparate, users
• Provide three-dimensional (3-D) visualization and animation capabilities
• Provide Web (Internet) accessibility and functionality
• Support the elements of the decision process (as discussed in more detail
below)
• Aid the selection of appropriate modeling and analysis tools (e.g.,
empower “smart” buying)
• Provide a repository of lessons learned
• Facilitate completion of place-based (e.g., site-specific) decision-supportsystem development
• Provide a means for incorporating decision constraints and rules within
the overall computational toolkit
• Provide statistical and data-mining tools for manipulating and querying
potentially large databases
12.2.6.1 Documentation
The tools in any toolkit should be fully documented. The documentation
should
• Describe the particular tool in detail and prescribe its correct application
in relation to environmental resource management
230
Jeffery P. Holland et al.