Version 1
: Received: 29 August 2023 / Approved: 29 August 2023 / Online: 30 August 2023 (10:13:56 CEST)
Version 2
: Received: 20 November 2023 / Approved: 22 November 2023 / Online: 23 November 2023 (09:28:13 CET)
How to cite:
Sukmaniar, S.; Listyaningsih, U.; Muhidin, S. Modelling of Spatial Data on Accuracy Value of Slum Areas Distribution in Palembang City, Indonesia. Preprints2023, 2023082019. https://doi.org/10.20944/preprints202308.2019.v1
Sukmaniar, S.; Listyaningsih, U.; Muhidin, S. Modelling of Spatial Data on Accuracy Value of Slum Areas Distribution in Palembang City, Indonesia. Preprints 2023, 2023082019. https://doi.org/10.20944/preprints202308.2019.v1
Sukmaniar, S.; Listyaningsih, U.; Muhidin, S. Modelling of Spatial Data on Accuracy Value of Slum Areas Distribution in Palembang City, Indonesia. Preprints2023, 2023082019. https://doi.org/10.20944/preprints202308.2019.v1
APA Style
Sukmaniar, S., Listyaningsih, U., & Muhidin, S. (2023). Modelling of Spatial Data on Accuracy Value of Slum Areas Distribution in Palembang City, Indonesia. Preprints. https://doi.org/10.20944/preprints202308.2019.v1
Chicago/Turabian Style
Sukmaniar, S., Umi Listyaningsih and Salut Muhidin. 2023 "Modelling of Spatial Data on Accuracy Value of Slum Areas Distribution in Palembang City, Indonesia" Preprints. https://doi.org/10.20944/preprints202308.2019.v1
Abstract
This study focused on analyzing the distribution of slum areas in Palembang City, Indonesia, which is a consequence of urbanization in the urban areas through the Modeling of Spatial Data on Accuracy Value. To achieve this objective, the study employed a quantitative methodology with GPS data collection techniques to gather data on families living in slum areas. The data collected were analyzed using inverse distance weighted, kernel density, and spatial data modelling techniques. The results showed that slum areas near riverbanks have a higher population density, whereas those near riverbanks have a lower population density. The spatial data modelling analysis demonstrated that the distribution of slum areas was widely spread along the Musi River, with an accuracy value of 96.8%, which falls within the range of >0.9-1.
Keywords
Modeling of Spatial Data; Accuracy Value; Slum Areas Distribution
Subject
Social Sciences, Urban Studies and Planning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
