APRIANI, LIDYA and Azwardi, Azwardi and Imelda, Imelda (2022) ANALISIS AUTOKORELASI SPASIAL KEMISKINAN ANTARDAERAH DI SUMATERA. Undergraduate thesis, Sriwijaya University.
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Abstract
This study aims to identify spatial poverty autocorrelation between regions in Sumatra, and the pattern of poverty distribution. The scope of this study is in the form of 153 regencies/cities in Sumatra, with variables on the number of poor people according to regencies/cities and distances in 2015, 2019, and 2020. This study used moran index analysis techniques, Moran Scatterplot, Local Indicator of Spatial Association (LISA), and Quantile Thematic Map. Based on Spatial Autocorrelation globally, it was found that the Moran Index for 2015, 2019, and 2020 received positive results, and there was a pattern of clustered distribution in quadrant III for Moran Scatterplot. Then for the results of LISA analysis, it was found that not all districts/cities have Spatial Poverty Correlation, and for districts/cities that have Spatial Autocorrelation, they are dominated by areas with high poverty and surrounded by areas with high poverty as well. As for the distribution of poverty in Sumatra, it is dominated by areas with a poor population of less than 50,000 people.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Spatial Autocorrelation, Poverty, Moran Index, Moran Scatterplot, Local Indicator of Spatial Association (LISA) |
Subjects: | H Social Sciences > HB Economic Theory > HB71-74 Economics as a science. Relation to other subjects |
Divisions: | 01-Faculty of Economics > 60201-Development Economics (S1) |
Depositing User: | Lidya Apriani |
Date Deposited: | 20 Sep 2022 05:47 |
Last Modified: | 20 Sep 2022 05:47 |
URI: | http://repository.unsri.ac.id/id/eprint/79195 |
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