Open AccessIdentification of Spatial Autocorrelation in the Poverty Level in West Pasaman Regency with Moran Index
Author(s) -
Fitri Mudia Sari,
Hendry Frananda,
Sonia Fransiska
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1554/1/012052
Subject(s) - poverty , disadvantaged , spatial analysis , index (typography) , autocorrelation , geography , statistics , mathematics , economic growth , economics , computer science , remote sensing , world wide web
West Pasaman Regency is one of the 50 largest disadvantaged regions in Indonesia. One indicator of disadvantaged areas is there are still many poor people in the area. The level of poverty in an area is estimated to be influenced by the poverty of the surrounding area. Relationships between these regions can be known by calculating spatial autocorrelation. This research aims to determine spatial autocorrelation in the poverty level in West Pasaman using the MoranIndex. The results of this study indicate thatthe poverty level in West Pasamanhave positive spatial autocorrelation, but the correlation is weak because the Moran Index value is close to 0, which is 0.0765.