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Universitas Hasanuddin
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Spatial Patterns of Under-Resourced Neighbourhood Settlements in Sidenrengrappang Regency

Riyanti R.

Iop Conference Series Earth and Environmental Science

Published: 2023

Abstract

Abstract Under-resourced neighbourhood settlements in Sidenreng Rappang Regency, which are growing, need to get the proper treatment, so that its scope does not expand so that it impacts the decline in the quality of the community’s living environment. The direction of development is identified as early as possible. This is seen from the spatial pattern. This study describes and explains the distribution pattern and spatial correlation of Under-resourced neighbourhood settlements in Sidenreng Rappang Regency. The spatial distribution uses the 2014 and 2020 Under-resourced neighbourhood location map overlay method with administrative maps and adds the attribute data on the percentage of Under-resourced neighbourhood Heads of Families (KK) while the spatial autocorrelation uses Moran’s Index, Moran’s scatterplot and Local Indicator Spatial Autocorrelation (LISA). The results showed that Under-resourced neighbourhood settlements in 2014 were concentrated in the city center while in 2020 they expanded to the west, north, east, and south of Sidenreng Rappang Regency. The results of the Moran Index and Moran’s Scatterplot testing show that there is no difference in the spatial distribution pattern of the percentage of Under-resourced neighbourhood households in 2014 and 2020 where there appears to be a spatial grouping (cluster). The results of the LISA analysis show that 13 villages have spatial autocorrelation. This indicates that the handling of Under-resourced neighbourhood settlements by the central and regional governments until 2019 has no impact on reducing the area and percentage of KK Under-resourced neighbourhoods, but instead grows new Under-resourced neighbourhoods and expands to other areas.

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Human settlementSciences
GeographySciences
Neighbourhood (mathematics)Sciences
Spatial analysisSciences
Spatial distributionSciences
CartographySciences
SocioeconomicsSciences
Regional scienceSciences
SociologySciences
MathematicsSciences
Remote sensingSciences
ArchaeologySciences
Mathematical analysisSciences