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		<identifier>6qtX3pFwXQZ3r59YD6/GP474</identifier>
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		<label>6184</label>
		<issn>1517-3275</issn>
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		<citationkey>CeccatoForeKurk:1993:PrMeAv</citationkey>
		<author>Ceccato, Vania Aparecida,</author>
		<author>Foresti, Celina,</author>
		<author>Kurkdjian, Maria de Lourdes Neves de Oliveira,</author>
		<group>DSR-INPE-MCT-BR</group>
		<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</title>
		<journal>Revista UNIVAP</journal>
		<year>1993</year>
		<volume>1</volume>
		<number>1</number>
		<month>Set.</month>
		<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).</abstract>
		<pages>19-26</pages>
		<secondarytype>PRE PN</secondarytype>
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		<secondarydate>19980319</secondarydate>
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