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All Journal Plano Madani : Jurnal Perencanaan Wilayah dan Kota
Adik Amin Nashrudien
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Engineering Environmental Science Social Sciences Transportation

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PERBANDINGAN TEKNIK PEMBOBOTAN DALAM DOWNSCALING PDRB DENGAN MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Adik Amin Nashrudien; Pramono, Retno Widodo Dwi
Plano Madani : Jurnal Perencanaan Wilayah dan Kota Vol 13 No 2 (2024)
Publisher : Jurusan Teknik Perencanaan Wilayah dan Kota, Fakultas Sains dan Teknologi, Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jpm.v13i2.48085

Abstract

Spatial planning and regional development, which are interrelated, require Gross Regional Domestic Product (GRDP) data that is spatially representative. The GRDP officially released by the government assumes that its value is distributed homogeneously across an administrative area, making it less representative. Therefore, a method is needed to provide spatial economic data that reflects the heterogeneity of economic activities within a region, allowing for sharper analysis and more targeted planning recommendations. Geographically Weighted Regression (GWR) downscaling can be applied due to the diverse geographical characteristics of a region. GWR downscaling is sensitive in representing regional heterogeneity with smaller spatial units. In this study, GRDP downscaling was carried out to an estimated grid with a resolution of 500 m x 500 m. Several weighting technique approaches are available to produce the best GRDP estimated grid values. To test this, the study compares weighting techniques using different types of kernel functions combined with bandwidth types. The results of the study indicate that the Gaussian-Fixed weighting technique produces the best GRDP estimated grid values compared to other techniques.
Co-Authors Retno Widodo Dwi Pramono