Multi Criteria Evaluation
Multi Criteria Evaluation (MCE) in GIS is to investigate the allocation of land to suit a specific purpose based on a variety of attributes that the selected areas have.[1] MCE makes it possible to generate compromise alternatives and rankings of alternatives according to their attractiveness.[2]
There are two common procedures for MCE. The first involves Boolean overlay. All criteria are evaluated by thresholds of suitability to produce Boolean maps, which are then combined by logical operators such as intersection (AND) and union (OR).[3] The second is weighted linear combination. When there are more than one attributes that need to be considered to find the most suitable location, each of them are assigned a weight based on its importance. The results are multi-attribute spatial features with final scores. The higher the score, the more suitable the area.
GIS&T Body of Knowledge Concepts
Multi-criteria evaluation is covered in section AM5-7 of the 2006 GIS&T Body of Knowledge.
See Also
References
- ↑ Eastman R. (1999). Multi-criteria evaluation and GIS. Chap. 35. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical information systems. Wiley, New York. pp. 493-502.
- ↑ Janssen, R., and Rietveld, P. (1990). Multicriteria analysis and GIS: an application to agricultural landuse in The Netherlands. In: Geographical information Systems for Urban and Regional Planning, edited by H. J. Scholten and J. C. H. Stillwell. (Dordrecht: Kluwer).
- ↑ Jiang H and Eastman R. (2000) Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Science 14:2. 173-184. DOI
Further reading
- Eastman R. (1999) Multi-criteria evaluation and GIS. Chapter 35 In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical information systems, Wiley, New York. pp493-502.
- Hall G, B., Wang F., and Subaryono(1992) Comparison of Boolean and fuzzy classification methods in land suitability analysis by using geographical information systems. Environment and Planning A, 24, 497-516.
