SciELO - Scientific Electronic Library Online

 
vol.31 número50Una aproximación al turismo rural en EspañaVulnerabilidad socioeconómica al potencial incremento del nivel del mar generado por el cambio climático en Barcelona-Lechería- Puerto La Cruz- Guanta, estado Anzoátegui, Venezuela índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Terra

versão impressa ISSN 1012-7089

Resumo

MARCANO, Arismar; CARTAYA, Scarlet; PACHECO, Henry  e  MENDEZ, Williams. Estimation of adjusted weights of variables for thegeneration of susceptibility maps through the spatial multicriteria evaluation. Terra [online]. 2015, vol.31, n.50, pp.55-80. ISSN 1012-7089.

Geoscience and geomatics have addressed risk reduction through land management, requiring the construction and analysis of maps. However, one of the most criticized aspects is given by the objectivity to assign weights to the variables that will be crossed to generate them. This paper analyzes the method of Analytical Hierarchy of the Multicriteria evaluation as a weighting of variables mechanism, to construct maps of land movements’ susceptibility. To apply this correlational-explanatory type investigation, it was proceeded to send to a group of experts, matrices of analytical hierarchies considering the variables: surface geology, geomorphology, average slope of the area and use conflict (formed by the confluence of current and potential use). The results highlight that geology scored the highest relative weight (0.39); followed by the slope (0.29); geomorphology (0.23) and the use conflicts (0.06).This leads to the conclusion that: (a) It conceives more objectivity to the assigment of weight of variables without biasing the information to the area of knowledge of the expert consulted; (b) it allows each of the component units of the variables, competing against each other, leaving hierarchical with more objective criteria; (c) it helps minimize the maps algorithm. However, it presents disadvantages in certain variables, since not all units or criteria are possible to contrasting, therefore, units and the possibility of comparison should be clarified before developing the matrices.

Palavras-chave : Multicriteria Evaluation; Matrice; Estimation; susceptibility; map.

        · resumo em Espanhol     · texto em Espanhol