The GIS software that is used for the process described above is ArcInfo while
the processing of aerial photographs, the digitization of primary maps (scale: 1/250001/50000), the performance of spot surveys, the utilization of questionnaires and the
collection of statistical data from various sources are used for data acquisition.
At the end of the process a database structure of the SDSS will be ready. The
SDSS will support multiple scenario evaluation and analysis capabilities. This can be
achieved by the development of a modelbase that will contain interaction relations for
the four thematic unites. The basic principles that will guide the configuration and
formation of the modelbase are described below:
The coverage of the first thematic entity (Coastal perimetric zones) represents
the proximity to the shore. This will be used as a criterion for:
the state and future development pressure and
the focusing of the management process
The second thematic entity (Economic activities) expresses the state economic
situation and will be mainly used for the finding of:
the economic conflicts and
the economic and development trends.
The third entity (Terrain and landscape natural or man-made characteristics)
reflects the carrying capacity of the development niche. This will be used for
the tracking of
the limited or favourable factors for any potential development process
and
the areas that require special protection or conservation.
The fourth entity (SDIs) will serve as an objective criterion for the evaluation
and supervision of the state and future sustainable development process.
Under consideration is the way that the weighting of alternative scenarios will be
succeeded. The examined solutions are the embodiment of a multicriteria analysis
technique (Jansen, 1991) or the development of an evaluation procedure using the
macro language of Excel.
The ability of ArcView to interact with other applications and to support
spatial queries makes it ideal as an SDSS generator. It is proposed that the decision
maker will basically use ArcView package from ESRI for the utilization of SDSS
features. Finally, it is hoped that in it’s mature state the SDSS will support extensive
Artificial Intelligence features through the use of fuzzy logic.
It is estimated that the proposed SDSS will prove essential for identifying
problems (state of the environment), targeting actions, monitoring progress towards
desired goals and periodic reviewing of policies.
Development of a DSS for Thassos Island
423
the processing of aerial photographs, the digitization of primary maps (scale: 1/250001/50000), the performance of spot surveys, the utilization of questionnaires and the
collection of statistical data from various sources are used for data acquisition.
At the end of the process a database structure of the SDSS will be ready. The
SDSS will support multiple scenario evaluation and analysis capabilities. This can be
achieved by the development of a modelbase that will contain interaction relations for
the four thematic unites. The basic principles that will guide the configuration and
formation of the modelbase are described below:
The coverage of the first thematic entity (Coastal perimetric zones) represents
the proximity to the shore. This will be used as a criterion for:
the state and future development pressure and
the focusing of the management process
The second thematic entity (Economic activities) expresses the state economic
situation and will be mainly used for the finding of:
the economic conflicts and
the economic and development trends.
The third entity (Terrain and landscape natural or man-made characteristics)
reflects the carrying capacity of the development niche. This will be used for
the tracking of
the limited or favourable factors for any potential development process
and
the areas that require special protection or conservation.
The fourth entity (SDIs) will serve as an objective criterion for the evaluation
and supervision of the state and future sustainable development process.
Under consideration is the way that the weighting of alternative scenarios will be
succeeded. The examined solutions are the embodiment of a multicriteria analysis
technique (Jansen, 1991) or the development of an evaluation procedure using the
macro language of Excel.
The ability of ArcView to interact with other applications and to support
spatial queries makes it ideal as an SDSS generator. It is proposed that the decision
maker will basically use ArcView package from ESRI for the utilization of SDSS
features. Finally, it is hoped that in it’s mature state the SDSS will support extensive
Artificial Intelligence features through the use of fuzzy logic.
It is estimated that the proposed SDSS will prove essential for identifying
problems (state of the environment), targeting actions, monitoring progress towards
desired goals and periodic reviewing of policies.
Development of a DSS for Thassos Island
423