Difference between revisions of "It is necessary to know which data will be use as variables in the models before designing the DSS"

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(Forsys_add_wg_subthemes.py)
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{{Lesson
 
{{Lesson
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|ID=18
 
|Has statement=It is necessary to know which data will be use as variables in the models before designing the DSS
 
|Has statement=It is necessary to know which data will be use as variables in the models before designing the DSS
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|Has evidence=Knowledge of potential management alternatives are typical limited among the users
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|Has consequences=Non-preferred management alternatives may be selected in a decision process
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|Has recommendation for action=Use a DSS to generate an appropriate size of the set of potential management alternatives to ensure that a preferred alternative is included among the potential ones.
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|Has domain=Participation, Project management
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|Has temporal scale=Long term (strategic), Medium term (tactical)
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|Has spatial context=Non spatial
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|Has spatial scale=Stand level
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|Has objectives dimension=Multiple objectives
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|Has goods and services dimension=Market non-wood products, Non-market services
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|Has decision making dimension=Single decision maker
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|Has reference=Vacik H., Lexer M.J. and Englisch M. 2004. Einsatz des Decision Support Systems DSD v1.1 zur Unterstützung der forstlichen Beratung im Landesforstdienst. Forstarchiv 75 (5): 1-11.
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Lexer, M.J., Vacik, H., Palmetzhofer, D. and Oitzinger, G. 2005. A decision support tool to improve forestry extension services for small private landowners in southern Austria. Computers and Electronics in Agriculture 49, 1: 81-102.
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|Has related DSS=DSD
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|Has country=Austria
 
|Has related case=United States-The forest plan revision process in the Okanogan Wenatchee National Forest
 
|Has related case=United States-The forest plan revision process in the Okanogan Wenatchee National Forest
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|Has actor perspective=Developer/Architect, Researcher, User
 
|Has working group theme=Dss development process, Knowledge management
 
|Has working group theme=Dss development process, Knowledge management
 
|Has DSS development=It is necessary to know which data will be use as variables in the models before designing the DSS.Description of DSS development
 
|Has DSS development=It is necessary to know which data will be use as variables in the models before designing the DSS.Description of DSS development
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|Has knowledge management processes=It is necessary to know which data will be use as variables in the models before designing the DSS.Knowledge management process
 
|Has knowledge management processes=It is necessary to know which data will be use as variables in the models before designing the DSS.Knowledge management process
 
|Has support for social participation=It is necessary to know which data will be use as variables in the models before designing the DSS.Support of social participation
 
|Has support for social participation=It is necessary to know which data will be use as variables in the models before designing the DSS.Support of social participation
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|Has researcher role=Decision analyst, Modeler
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|Has user role=Forest manager, Decision maker
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|Has developer role=Architect, Project manager
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|Has recommendation=The DSS generated a large number of silvicultural approaches, used three optional harvesting systems and an indefinite number of possible user-specific data tables on costs and prices
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|Has project management=
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|Has stakeholder involvement=
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|Has system testing=
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|Has DSS development stage=Use, Specification
 
}}
 
}}
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[[Wg1::Problem specification]]

Revision as of 21:16, 8 September 2013

Lesson

ID 18
Has statement It is necessary to know which data will be use as variables in the models before designing the DSS
Has evidence Knowledge of potential management alternatives are typical limited among the users
Has consequences Non-preferred management alternatives may be selected in a decision process
Has recommendation for action Use a DSS to generate an appropriate size of the set of potential management alternatives to ensure that a preferred alternative is included among the potential ones.
Has domain Participation, Project management
Has DSS development stage Use, Specification
Has decision stage
Has temporal scale Long term (strategic), Medium term (tactical)
Has spatial context Non spatial
Has spatial scale Stand level
Has objectives dimension Multiple objectives
Has goods and services dimension Market non-wood products, Non-market services
Has decision making dimension Single decision maker
Has country Austria
Has reference Vacik H., Lexer M.J. and Englisch M. 2004. Einsatz des Decision Support Systems DSD v1.1 zur Unterstützung der forstlichen Beratung im Landesforstdienst. Forstarchiv 75 (5): 1-11.

Lexer, M.J., Vacik, H., Palmetzhofer, D. and Oitzinger, G. 2005. A decision support tool to improve forestry extension services for small private landowners in southern Austria. Computers and Electronics in Agriculture 49, 1: 81-102.

Has related DSS DSD
Has related case United States-The forest plan revision process in the Okanogan Wenatchee National Forest
Has related lesson
Has other relevant information
Has working group theme Dss development process, Knowledge management
Has DSS development It is necessary to know which data will be use as variables in the models before designing the DSS.Description of DSS development
Has decision support techniques It is necessary to know which data will be use as variables in the models before designing the DSS.Decision support techniques
Has knowledge management processes It is necessary to know which data will be use as variables in the models before designing the DSS.Knowledge management process
Has support for social participation It is necessary to know which data will be use as variables in the models before designing the DSS.Support of social participation
Has actor perspective Developer/Architect, Researcher, User
Has researcher role Decision analyst, Modeler
Has user role Forest manager, Decision maker
Has developer role Architect, Project manager
Problem specification