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 fami.....

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