Identification of Spatial Autocorrelation in the Poverty Level in West Pasaman Regency with Moran Index

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F.M. Sari, H. Frananda, S. Fransiska

2020 Journal of Physics: Conference Series Vol. 1554 Issue 1 Conference paper Cited by 5 SDG 1 Quartile

Abstract

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. © 2020 Published under licence by IOP Publishing Ltd.

Affiliations

Mathematics Department, UniversitasNegeri Padang, Padang, Indonesia; Geography Department, UniversitasNegeri Padang, Padang, Indonesia

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