Analysis of the Statistical Relationship between Swimming Pools and the Socioeconomic Level of the Population of Marília – SP

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Isabela do Lago Silva
https://orcid.org/0000-0002-5211-6895
Agnes Silva de Araujo
https://orcid.org/0000-0002-1449-8984
Alfredo Pereira de Queiroz
https://orcid.org/0000-0003-4038-4953

Abstract

Land cover data may be used as indicators of socioeconomic differentiation. Although residential pools are considered as leisure equipment for the highest social classes, it is important to quantify this association. The aim of this paper is to relate the presence of swimming pools to the socioeconomic level of the population of Marília – SP. The geographical location of the swimming pools was obtained by the classification of satellite image, using GEOBIA techniques, and the association with the income of the heads of households was established by the Global Linear Regression and Geographical Weighted Regression. The results confirmed that the swimming pools can be an indicator of the location of high-income families. The model was able to predict the location of the high-income families (income above 10 minimum wages) at 68%. The model showed a better fit in horizontal single-family houses, but poor performance in the central locations of the city, with more vertical dwellings and with few swimming pools per lot.

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How to Cite
SILVA, I. do L.; ARAUJO, A. S. de; QUEIROZ, A. P. de. Analysis of the Statistical Relationship between Swimming Pools and the Socioeconomic Level of the Population of Marília – SP. Brazilian Journal of Cartography, [S. l.], v. 73, n. 1, p. 228–244, 2021. DOI: 10.14393/rbcv73n1-54763. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/54763. Acesso em: 7 jan. 2025.
Section
Original Articles
Author Biographies

Isabela do Lago Silva, University of São Paulo

Currently is a undergraduate student in Geography at University of São Paulo (2017). Has experience in Remote Sensing with an emphasis on Geographic Object-Based Image Analysis and Geographic Information Systems.

Agnes Silva de Araujo, University of São Paulo

Holds a Bachelor's Degree in Geography from the University of Paulo (2013), a Master's Degree in Physical Geography (2015). Has experience in Cartography and Remote Sensing, with emphasis on Geographic Information Systems and Geographic-Objects Image Analysis. Currently is a PhD student in Physical Geography at USP (2016-current) and a professor at Faculdade Católica Paulista teaching Topography I and II for the Civil Engineering course (2016-current).

Alfredo Pereira de Queiroz, University of São Paulo

Lecturer in Geography - FFLCH - USP (2019), Postdoctoral fellow at the Institut des Hautes Etudes de L`Amérique Latine (IHEAL) Université Paris III Sorbonne Nouvelle (2008-09), PhD in Engineering at Escola Politécnica da USP (2005) , Master in Engineering from Escola Politécnica da USP (1993), Graduated in Geography FFLCH - USP (1989), Professor of Cartography and Spatial Analysis at the Department of Geography - FFLCH - USP, since 2001. Representative of Geography - USP in the Regional Council of Engineering and Agronomy of São Paulo (CREA-SP) from 2014 to 2019. Vice coordinator of the Graduate Program in Physical Geography - USP (2019-2021). Vice coordinator of CoC Bachelor of Geography - USP (2020-2021). Editor of the São Paulo Geography Bulletin between 2015-2018.