SPATIAL REGRESSION APPROACH TO MODELLING POVERTY IN JAVA ISLAND 2022

  • Maria A. Hasiholan Siallagan Politeknik Statistika STIS, Indonesia
  • Novi Hidayat Pusponegoro Politeknik Statistika STIS, Indonesia https://orcid.org/0009-0006-4010-9555
DOI: https://doi.org/10.30598/barekengvol18iss3pp1765-1778
Keywords: Generalized Additive Model, Smoothing Function, Spatial

Abstract

Geographically Weighted Regression (GWR) model is a powerful tool for analyzing spatial patterns in data. However, the standard form of a spatial model that uses a single bandwidth calibration may be unrealistic because the response-predictor relationship may be either linear or nonlinear. To address this issue, the Multiscale GWR (MSGWR) model offers improved model performance by employing Generalized Additive Model (GAM) with varying bandwidth or smoothing function for each covariate in the model.  This research aims to analyze the Percentage of Poor Population (PPP) on Java Island in 2022 using the geospatial models and related socioeconomic and demographic attributes, such as Open Unemployment Rate, Human Development Index, Labor Force Participation Rate, and GRDP Per capita to identify the best model in explaining the spatial pattern and to find out the determinant of PPP on Java Island in 2022. This study uses secondary data from Statistics Indonesia. The findings reveal that the MSGWR model provides the highest R2 and smallest AICc value compared to single bandwidth models, specifically the GWR and MXGWR models. Furthermore, the MSGWR model indicates that HDI has a significant negative effect on PPP, whereas LFPR has a significant positive effect on PPP across all districts in Java Island in 2022.

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Published
2024-08-02
How to Cite
[1]
M. Siallagan and N. Pusponegoro, “SPATIAL REGRESSION APPROACH TO MODELLING POVERTY IN JAVA ISLAND 2022”, BAREKENG: J. Math. & App., vol. 18, no. 3, pp. 1765-1778, Aug. 2024.
Issue
Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Section
Articles

Copyright (c) 2024 Maria A. Hasiholan Siallagan, Novi Hidayat Pusponegoro

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