Spatial autocorrelation proposal of the relationship between the socioeconomic conditions in Metropolitan Region of Sorocaba, SP, Brazil
DOI:
https://doi.org/10.5902/2179460X39332Keywords:
Spatial correlation, Urbanization, Geoprocessing, Demographic census, Linear regressionAbstract
The spatialization of social data allows to analyze some social and territorial characteristics of census tracts up to the totality of a city or metropolitan region. The objective of this study was to verify the spatial autocorrelation of data that reflect the health and income conditions of households in the Metropolitan Region of Sorocaba (MRS) and verify if there is a correlation of these indicators by a multiple linear regression test. For this, the Global and Local Moran Index was calculated, which were used to measure autocorrelation and spatial dependence among the census tracts. It was identified that there are 177 census tracts distributed by MRS that showed autocorrelations for all variables and correspond to 31.1% of the territory and 5.4% of the total population of MRS. This study can be used by public managers to develop public policies aimed at improving the quality of life of the population because allows the identification of the regions that go beyond the administrative limits of the municipalities that lack collective investment and cooperation of municipalities.
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