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		<isbn>978-85-17-00088-1</isbn>
		<label>59544</label>
		<citationkey>SilvaDompOlivMato:2017:EsCaTe</citationkey>
		<title>Proposição e avaliação de um indicador de homogeneidade territorial: estudo de caso dos Territórios de Identidade baianos</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>711 KiB</size>
		<author>Silva, Marcos Aurélio Santos da,</author>
		<author>Dompieri, Márcia Helena Galina,</author>
		<author>Oliveira, Joel Alves de,</author>
		<author>Matos, Leonardo Nogueira,</author>
		<electronicmailaddress>joel.oliveira@dcomp.ufs.br</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>4127-4133</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The stratification of municipalities in homogeneous areas facilitates the planning and management of space, especially in large areas, since it allows greater coherence in the adoption of public policies and economic incentives. This paper proposes a homogeneity index to evaluate the degree of similarity of territories previously determined by regional public policies. The index works in conjunction with clustering techniques such as  TerraSOM and K-means. The proposed index has been applied in the evaluation of 27 Territories of Identity,  state of Bahia, created in 2007 by the Superintendency of Economic and Social Studies of Bahia. The data were composed of a set of 45 socioeconomic and land use variables.  The analytical evaluation of the proposed index showed that it is simple to implement and interpret, can be applied with any clustering technique, and can be used in different contexts. The results have shown that to the Territories of Identity results have shown similar results for both clustering techniques, but in the presence of outliers, the homogeneity index was less stable when calculated by the k-means technique. There is not statistically significant spatial autocorrelation for the homogeneity index.</abstract>
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		<language>pt</language>
		<targetfile>59544.pdf</targetfile>
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