@InProceedings{P:2018:CaStDe,
               author = "{Queiroz​} and , Heithor Alexandre de Araujo and {​} 
                         and {Dantas​} and , Bruno Cardoso and {​} and 
                         {Silva-Neto​} and , Ciicero Fidelis da and {​} and 
                         Pereira, Thiago Emmanuel and {Lima​} and , Ricardo da Cunha 
                         Correia",
          affiliation = "{Instituto Nacional do Semia\́rido (INSA)} and {Instituto 
                         Nacional do Semia\́rido (INSA)} and {Instituto Nacional do 
                         Semia\́rido (INSA)} and {Universidade Federal de Campina 
                         Grande (UFCG)} and {Instituto Nacional do Semia\́rido 
                         (INSA)} and {Universidade Federal de Campina Grande (UFCG)} and 
                         {Universidade Federal de Campina Grande (UFCG)} and {Instituto 
                         Nacional do Semia\́rido (INSA)}",
                title = "A performance comparison between two GIS multi-criteria decision 
                         aid methods: a case study of desertification evaluation",
                 year = "2018",
               editor = "Vinhas, L{\'u}bia (INPE) and Campelo, Claudio (UFCG)",
                pages = "122--127",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 19. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Desertification is widely recognized as one of the most relevant 
                         environmental problems to be evaluated. In many cases, it requires 
                         processing large amounts of data and is also computing intensive. 
                         The present study sheds light on this problem in the context of a 
                         desertification analysis of the Brazilian Semiarid, using the 
                         PROMETHEE Multi-Criteria Decision Aid method, which is a 
                         multicriteria analysis method used to identify the outranking 
                         relation for a pair of alternatives tackling spatial problems such 
                         as site selection problem and land use/suitability analysis. We 
                         describe the design and implementation of a practical solution to 
                         this problem, based on state-of-the-art theoretical advances and 
                         further improvements to deal with large datasets. We compare the 
                         performance of our solution with the GRASS software environment. 
                         The performance evaluation indicates that our solution can address 
                         the problem; it is up to 720 times faster than the GRASS 
                         alternative, for the evaluated scenario.",
  conference-location = "Campina Grande",
      conference-year = "05-07 dez. 2018",
                 issn = "2179-4847",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3SG4CTL",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3SG4CTL",
           targetfile = "p12.pdf",
        urlaccessdate = "28 abr. 2024"
}