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Análise espacial do índice de desenvolvimento humano municipal na região semiárida brasileira

Journal: Revista Brasileira de Geomática (Vol.3, No. 2)

Publication Date:

Authors : ; ; ;

Page : 61-67

Keywords : spatial autocorrelation; Moran index; exploratory spatial data analysis;

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Abstract

Brazilian semiarid region is a geographic area with 980.133,079km², characterized by an average annual rainfall less than 800 mm, aridity index up 0,5 and dry risk of greater than 60%. Covers 9 states, 1135 counties and a population of 22.598.318 inhabitants. Human Development of Municipalities Index (IDHM) allows to know the reality of human development of the municipalities. Human Development Brazil Atlas in 2013 offers the IDHM and its three components: IDHM Income, IDHM Education and IDHM Longevity, calculated from Census data from Brazil in 2010. Exploratory Spatial Data Analysis (ESDA) was used in order to describe and visualize spatial distributions, discover patterns of association, to identify clusters and atypical situations IDHM on data from the Brazilian semiarid region. Results show that there are spatial autocorrelation in IDHM. Clusters of high and low values were identified with different patterns of aggregation. These results may lead to conduct further studies to understand the factors of aggregation and suggest priority areas for action by state governments.

Last modified: 2017-09-08 06:30:19