PEMETAAN EFEK SPASIAL KEMISKINAN DI KABUPATEN GROBOGAN
DOI:
https://doi.org/10.24246/dekat.v3i2.17890Keywords:
Kemiskinan, Pola Spasial, Autokorelasi Spasial, Indeks Moran, LISA, Poverty, Spatial Pattern, Spatial Autocorrelation, Moran’s IAbstract
This study aims to analyze the spatial pattern of poverty in Grobogan Regency and identify priority areas for intervention based on spatial relationships. The data used were village-level poverty statistics analyzed using the Queen Contiguity method to determine neighborhood relationships. Spatial autocorrelation tests were conducted using Moran’s I and Local Indicators of Spatial Association (LISA). The results show a Moran’s I value of 0.27, indicating a positive spatial autocorrelation with a weak to moderate strength. The LISA test identified 45 villages with significant spatial autocorrelation, with High-High clusters concentrated in the southern and northeastern areas, forming contiguous pockets of poverty. These patterns suggest the need for poverty alleviation policies that consider spatial characteristics and inter-village relationships, thereby ensuring that interventions are more targeted and effective in reducing poverty disparities
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