• Simon Kamp Danielsen
This project uses a multi-criteria analysis, to identify restoration areas in Vordingborg municipality. Firstly, the background knowledge of natural protected areas, environmental schemes in agriculture and extensive agricultural areas is presented. Then nature conservation, landscape structures and theory of multi-criteria analysis is described. In the data section the individual datasets used in the analysis is presented, in addition to their precision and uncertainty. Methodically data is classified as factors and limitations in a raster, where factors are valued by the pair wise comparison method. Then boolean suitable areas are assessed, based on the weighted linear combination method. Finally data is combined in a multi-criteria evaluation. The highest suitable cells are selected and evaluated with the quadrant method and near analysis. A specific area is not recommended as a suitable nature restoration area, as this is up to the decision makers to determine. The result of the analysis has a high degree of uncertainty, as the precision of the data is low. This makes the results difficult to compare and use in management directly. Hereby can the uncertainty of the results be discussed according to weightings and valuations of the analysis, as well as the potential of a multi-criteria analysis use as decision support system. Finally a future simplification of multi-criteria analysis is taken into perspective, as this can make the method widely usable as a decision support system.
Publication date1 Oct 2012
Number of pages81
ID: 68776075