Keywords
decision support systems, integer programming, gis, landscape restoration, priority setting
Start Date
1-7-2004 12:00 AM
Abstract
This paper describes the design and construction of a prototype spatial decision support system (SDSS) for an interactive evaluation of integrated landscape restoration planning using spatial information technology. Landscape planning involves spatially explicit decisions about the types of landuses allowable, and the extent and location of these landuses. This decision-making needs to be supported by accurate and detailed information about the spatial distribution of numerous parameters affecting the distribution of landuse. The SDSS that we present in this paper comprises a geographic information system (GIS) tightly coupled with an analytical optimisation module by means of an interactive interface. The GIS is used for storage, manipulation and visualisation of spatial data, and for assessing the results of the analytical module computing optimal spatial pattern. Several user-selectable parameters allow consideration of management objectives related to planning for landscape restoration.
An Interactive Spatial Optimisation Tool for Systematic Landscape Restoration
This paper describes the design and construction of a prototype spatial decision support system (SDSS) for an interactive evaluation of integrated landscape restoration planning using spatial information technology. Landscape planning involves spatially explicit decisions about the types of landuses allowable, and the extent and location of these landuses. This decision-making needs to be supported by accurate and detailed information about the spatial distribution of numerous parameters affecting the distribution of landuse. The SDSS that we present in this paper comprises a geographic information system (GIS) tightly coupled with an analytical optimisation module by means of an interactive interface. The GIS is used for storage, manipulation and visualisation of spatial data, and for assessing the results of the analytical module computing optimal spatial pattern. Several user-selectable parameters allow consideration of management objectives related to planning for landscape restoration.
