Analisis Autokorelasi Spasial Global dan Lokal Pada Data Kemiskinan Provinsi Bali

Poverty is a crucial problem that often occurs in Indonesia, including the province of Bali. The poverty rate Bali has increased significantly over last 3 years, so further analysis needed this can be reduced. pattern between regions different because it depends on geographical and socio-cultural conditions each area. effect location cases identified by global local spatial autocorrelation methods. This study aimed to analyze data Province using test with Moran’s Geary’s C indices as well Local Indicator Spatial Association (LISA) Getis-Ord G obtain an overview distribution data. Based test, concluded index there negative 2020-2022 for a=10%. Similar results were also obtained when test. In LISA, was found districts had autocorrelation, namely 2020 Buleleng Regency (high-low) Klungkung (low-low), 2021 Jembrana while 2022 only autocorrelation. For testing no districts/cities showed grouping or locally.