PCA and Cluster Analysis for Criteria Mapping in Landfill Siting
نویسندگان
چکیده
Landfill siting is of primordial interest in waste management. As the size of modern cities grows along with the shifts in demographics and composition of solid wastes, it has become important to choose the location of a waste disposal area in a way that insures long-term usability, environmental impact minimization and other considerations; these considerations can vary greatly among cases and from it follows that the criteria involved in siting a new landfill location should be subject to a conscientious and thorough choosing process. This work is a literature review focusing on criteria used in the siting of new landfills, it took advantage of the statistical methods of data mining in order to establish patterns; it can be viewed as a guide. Starting with collection of scoop-compatible articles, an extraction of criteria from each article is done which opens the door for analysis by Principal Component Analysis (PCA), Bivariate Correlation (BC) and Cluster Analysis (CA). The corroborate use of this methods and the definition of the conceptual layers of category and supercategory fortifies the statistical significances of the results. KeywordLandfill, Siting, Criteria, Data Mining
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