ANALYSIS OF POVERTY LEVELS IN WEST KALIMANTAN USING GEARY’S C AND LISA SPATIAL AUTOCORRELATION

Abstract

Poverty is one of the development issues that is closely related to geographical conditions and regional characteristics. This study aims to analyze the spatial pattern of poverty levels in West Kalimantan in 2020-2024 using the Geary's C global spatial autocorrelation method and the LISA (Local Indicators of Spatial Association) local spatial autocorrelation method. This study uses the queen contiguity approach as a spatial weighting matrix. The results of the Geary's C analysis show that all C values are < 1 and are supported by Zcount values > 1.96 and p-values < 0.05 at a 5% significance level. This means that there is significant positive spatial autocorrelation, so that poverty levels in West Kalimantan form a clustered pattern. The LISA analysis results show that the Sintang and Melawi regions tend to form a High-High cluster, meaning that these regions have high poverty levels and are surrounded by regions that also have high poverty levels. Meanwhile, the Bengkayang, Mempawah, Landak, and Pontianak City regions often appear as Low-Low clusters, meaning that these regions have low poverty levels and are surrounded by regions with low poverty levels. In addition, in certain years, a High-Low pattern emerges, indicating local disparities between neighboring regions. Overall, poverty levels in West Kalimantan are uneven and influenced by spatial relationships between regions, meaning that the conditions of a region cannot be separated from the characteristics of the surrounding regions