UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : Perpustakaan Tuanku Bainun |
| Spatial heterogeneity in family planning is a critical issue that reflects significant variations in contraceptive use and related indicators across regions, highlighting the need for targeted interventions to enhance family planning services. The Geographically Weighted Regression (GWR) model, a spatial analytical approach, incorporates geographic weights at each observation site to estimate localized regression parameters. This study aims to identify the GWR model and determine the factors influencing the Contraceptive Prevalence Rate (CPR) in 19 districts and cities in West Sumatera Province in 2023. The Adaptive Kernel Bisquare Function is employed to assign spatial weighting, while Cross-Validation (CV) is used to optimize the bandwidth, ensuring robust and localized model estimation. Using secondary data from the West Sumatera Central Bureau of Statistics, the study reveals substantial spatial variability in the factors influencing CPR. Key determinants include the number of family planning clinics, the number of village family planning service posts, the proportion of poor households, and the proportion of women of reproductive age using contraceptives. The GWR model achieves a high coefficient of determination (R_) of 86.98%, indicating strong model performance in explaining CPR variation. These findings underscore the methodological importance of Adaptive Kernel Bisquare weighting and cross-validation in capturing spatial heterogeneity and provide actionable insights for localized family planning strategies.
Keywords Contraceptive Use, Geographic Weighted Regression, Spatial Heterogeneity |
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