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@Article{CeccatoForeKurk:1993:PrMeAv,
               author = "Ceccato, Vania Aparecida and Foresti, Celina and Kurkdjian, Maria 
                         de Lourdes Neves de Oliveira",
                title = "Proposta metodologica para avaliacao da qualidade de vida urbana a 
                         partir de dados convencionais e de sensoriamento remoto, sistema 
                         de informacoes geograficas (SIG)e de um banco de dados",
              journal = "Revista UNIVAP",
                 year = "1993",
               volume = "1",
               number = "1",
                pages = "19--26",
                month = "Set.",
             abstract = "Due to encreasing urbanization process very often associated with 
                         life quality deterioration, more efficient methods for evaluating 
                         the standard of living in brazilian cities have become necessary. 
                         Dispite aquisition, availability and reliability difficulties the 
                         intra urban conventional data (statistical data, map, etc)is still 
                         the main source of data for this type of study. Higher quality 
                         results can be obtained when combining conventional data with 
                         remote sensing data. This combination increases the generation 
                         capacity of new products containing more detailed information from 
                         urban space. The integration of a Geographical Information System 
                         (GIS)to a relational database can be useful to manipulate this 
                         information. Thus allowing the generation and manipulation of new 
                         data in a flexible and accurate way by automation resources. This 
                         paper proposes a preliminary methodology of urban life quality 
                         evaluation integrating conventional data and remote sensing data 
                         by a GIS and relational database. This methodology is based on a 
                         conceptual model envolving the following variables: salary of 
                         urban population (income), contagious disease occurrence (health), 
                         violent crimes occurrence (criminality)and environmental variables 
                         extracted from remote sensing products like vegetation density 
                         (green areas)and built space pattern (texture).",
                 issn = "1517-3275",
                label = "6184",
        urlaccessdate = "14 jul. 2020"
}


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