Skripsi

ANALISIS AUTOKORELASI SPASIAL KEMISKINAN ANTARDAERAH DI SUMATERA.

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003768	T79195	T791952022	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T791952022

Publisher

Indralaya : Prodi Ekonomi Pembangunan, Fakultas Ekonomi Universitas Sriwijaya., 2022

Collation

xv, 86 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

362,507

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

kemiskinan
Prodi Ekonomi Pembangunan

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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