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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Geographically weighted regression in malnourished toddlers with adaptive kernel bi-square weighting

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  • Geographically weighted regression in malnourished toddlers with adaptive kernel bi-square weighting

Shafa Salsabila * and Desie Rahmawati

Department of Epidemiology, Biostatistics, Population Studies and Health Promotion, Faculty of Public Health, Airlangga University. Surabaya, East Java, Indonesia.
 
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(01), 1042-1047
Article DOI: 10.30574/wjarr.2023.18.1.0704
DOI url: https://doi.org/10.30574/wjarr.2023.18.1.0704
 
Received on 10 March 2023; revised on 19 April 2023; accepted on 22 April 2023
 
Spatial data modeling cannot use linear regression due to the presence of unfulfilled assumptions, namely heteroscedasticity. One of the modeling that can be done is Geographically Weighted Regression (GWR) with weighting, one of which is Adaptive Kernel Bi-square. This study aims to prove that the GWR Adaptive Kernel Bi-square model can analyze and interpret factors that have a significant effect on cases of malnourished toddlers in East Java Province. This study used GWR Adaptive Kernel Bi-square analysis using secondary data on the Health Profile of East Java Province in 38 districts/cities in 2018. The results of GWR modeling with the Adaptive Kernel Bi-square weighting function, namely the value of the coefficient in each region is different and the difference in predictor variables has a significant effect. The GWR Adaptive Kernel Bi-square model can analyze and interpret factors that have a significant effect on cases of malnourished toddlers in East Java Province, so this study can be a reference in analyzing influential factors.
 
Geographically weighted regression; Adaptive; Kernel; Bi-Square; Malnourished toddlers; East Java
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-0704.pdf

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Shafa Salsabila and Desie Rahmawati. Geographically weighted regression in malnourished toddlers with adaptive kernel bi-square weighting. World Journal of Advanced Research and Reviews, 2023, 18(1), 1042-1047. Article DOI: https://doi.org/10.30574/wjarr.2023.18.1.0704

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