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Multicriteria Evaluation
Multicriteria evaluation (MCE) refers to a group of analytical methods that fall loosely within the field of multicriteria decision analysis (MCDA). Used within GIS, MCE methods allow individual input map layers used in GIS overlay operations to be weighted such that their relative importance is reflected in the output map. They are used mainly as spatial decision support tools when addressing land suitability/facilities location and evaluation/assessment problems. Example applications might include searching for suitable sites for a wind farm or nuclear waste repository, evaluating the suitability of different locations for growing particular crops, and assessing the likely environmental impact from a new airport development.
MCE approaches are particularly useful when the decision problem being addressed is not tightly defined and involves a wide range of stakeholders and conflicting objectives. Such an analysis requires greater flexibility in the application of input data and problem definition/interpretation than provided by standard overlay methods. MCE methods can, for example, be used to explore the effect of different stakeholder viewpoints regarding a decision for the location of a particular facility on the relative ranking of the alternative locations. In this respect, MCE methods have a number of advantages over standard overlay methods, not least of which is the ability to assign priorities to input layers and utilize the full range of data values they contain.
MCE Methods
There are many different MCE methods, including weighted linear summation, ideal point analysis, hierarchical optimization, and concordance/discordance analysis. Historically, these have been borrowed and adapted largely from the operations research field, where they were first developed in the 1960s and 1970s, but several methods and approaches have since been developed purely with GIS applications in mind.
Conceptually speaking, MCE methods involve the quantitative or qualitative weighting, scoring, or ranking of criteria relevant to the decision problem to reflect their importance to either a single or multiple set of objectives. Numerically, these techniques are simply algorithms that define the suitability of a finite number of “choice alternatives” on the basis of two or more input criteria and their assigned weights, together with some mathematical or logical means of determining acceptable trade-offs as conflicts arise. When applied within a GIS framework, the “choice alternatives” are the cells, features, polygons, or regions defined by the GIS, while the input criteria are determined by the individual input map layers. Both the input criteria and the weights applied are set by users in such a way as to best reflect their understanding of the problem and their opinions as to what is (and isn't) important.
Implementing MCE within GIS
Only a handful of proprietary GIS packages provide any “out-of-the-box” MCE tools (e.g., IDRISI), but most GIS packages can be used to develop custom MCE applications using standard map algebra and database tools. In addition, recent years have seen a number of dedicated MCE-based software tools being developed and marketed, and examples of Web-based MCE applications have been published online for specific decision problems. Whether using existing tools or customized procedures, the main steps involved are basically the same. These are described in the following sections.
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