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September 10, 2025ZERO Jurnal Sains Matematika dan TerapanOpen Access

Spatial Modeling of Food Security Index in Central Java Using Mixed Geographically Weighted Regression

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Authors

NCNur ChamidahTSToha SaifudinAMArinda Mahadesyawardani

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Overview

Mixed geographically weighted regression reveals factors affecting food security index in Central Java, indicating spatial disparities.

Key Points

  • Households lacking access to clean water negatively impacts the food security index by 0.1710 points.
  • Population density significantly affects the food security index in 21 districts/cities, covering about 60% of Central Java's area.
  • The mixed geographically weighted regression model shows superior performance over global regression with the lowest AIC.
  • Spatial disparities in food security index indicate a need for targeted interventions in affected districts.

Cite This Study

Chamidah et al. (2025) studied this question.

synapsesocial.com/papers/68c1afcd54b1d3bfb60e7cf2https://doi.org/10.30829/zero.v9i1.25044
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