@InProceedings{MartaroleBuenDall:2009:AnEsDa,
               author = "Martarole, Thiago de Lima and Bueno, Luis Fernando and Dall'igna, 
                         Luiz Gilberto",
          affiliation = "{Instituto Luterano de Ensino Superior de Porto Velho - 
                         ILES/ULBRA} and {Sistema de Prote{\c{c}}{\~a}o da Amaz{\^o}nia 
                         - SIPAM} and {Servi{\c{c}}o Geol{\'o}gico do Brasil - CPRM}",
                title = "An{\'a}lise espacial dos dados da criminalidade infanto-juvenil 
                         no munic{\'{\i}}pio de Porto Velho - RO",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "4035--4042",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Criminalidade - An{\'a}lise explorat{\'o}ria espacial - 
                         Geoprocessamento - SIG - Porto Velho.",
             abstract = "Porto velho population, suffers with high indices of criminality. 
                         Porto Velho, Rond{\^o}nias capital, was considered in 2002, the 
                         most violent city in Brazil. Based on these precepts, it was 
                         considered the relevance of current work and the progress its 
                         final product would bring to society. The study was conducted 
                         successfully and was able to present consistent results. Using 
                         various techniques, as Moran I, LISA, Minimum Spanning Tree, 
                         Kernel Estimation, Gi and Gi* functios, it was found spatial 
                         conglomerates, risk areas and therefore need more attention. The 
                         Kernel estimation maps, found higher incidences of crime and the 
                         secondary crime zones, in addition to presenting results of the 
                         crime in relation with the population at risk (weighted average). 
                         It follows that the use of exploratory spatial data analysis to 
                         mention the issue of crime was extremely effective, and allows the 
                         study get more detailed in an immeasurable way.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.21.05",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.21.05",
           targetfile = "4035-4042.pdf",
                 type = "Geoprocessamento e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "17 maio 2024"
}