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Revisiting social vulnerability analysis in Indonesia data
This paper presents the dataset about the social vulnerability in Indonesia. This dataset contains several dimensions which rely on previous studies. The data was compiled mainly from the 2017 National Socioeconomic Survey (SUSENAS) done by BPS-Statistics Indonesia. We utilize the weight to obtain t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718717/ https://www.ncbi.nlm.nih.gov/pubmed/35005139 http://dx.doi.org/10.1016/j.dib.2021.107743 |
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author | Kurniawan, Robert Nasution, Bahrul Ilmi Agustina, Neli Yuniarto, Budi |
author_facet | Kurniawan, Robert Nasution, Bahrul Ilmi Agustina, Neli Yuniarto, Budi |
author_sort | Kurniawan, Robert |
collection | PubMed |
description | This paper presents the dataset about the social vulnerability in Indonesia. This dataset contains several dimensions which rely on previous studies. The data was compiled mainly from the 2017 National Socioeconomic Survey (SUSENAS) done by BPS-Statistics Indonesia. We utilize the weight to obtain the estimation based on multistage sampling. We also received additional information on population, the number, and population growth from the BPS-Statistics Indonesia's 2017 Population projection. Furthermore, we provide the distance matrix as the supplementary information and the number of populations to do the Fuzzy Geographically Weighted Clustering (FGWC). This data can be utilized to do further analysis of social vulnerability to promote disaster management. The data can be accessed further at https://raw.githubusercontent.com/bmlmcmc/naspaclust/main/data/sovi_data.csv. |
format | Online Article Text |
id | pubmed-8718717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87187172022-01-06 Revisiting social vulnerability analysis in Indonesia data Kurniawan, Robert Nasution, Bahrul Ilmi Agustina, Neli Yuniarto, Budi Data Brief Data Article This paper presents the dataset about the social vulnerability in Indonesia. This dataset contains several dimensions which rely on previous studies. The data was compiled mainly from the 2017 National Socioeconomic Survey (SUSENAS) done by BPS-Statistics Indonesia. We utilize the weight to obtain the estimation based on multistage sampling. We also received additional information on population, the number, and population growth from the BPS-Statistics Indonesia's 2017 Population projection. Furthermore, we provide the distance matrix as the supplementary information and the number of populations to do the Fuzzy Geographically Weighted Clustering (FGWC). This data can be utilized to do further analysis of social vulnerability to promote disaster management. The data can be accessed further at https://raw.githubusercontent.com/bmlmcmc/naspaclust/main/data/sovi_data.csv. Elsevier 2021-12-23 /pmc/articles/PMC8718717/ /pubmed/35005139 http://dx.doi.org/10.1016/j.dib.2021.107743 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Kurniawan, Robert Nasution, Bahrul Ilmi Agustina, Neli Yuniarto, Budi Revisiting social vulnerability analysis in Indonesia data |
title | Revisiting social vulnerability analysis in Indonesia data |
title_full | Revisiting social vulnerability analysis in Indonesia data |
title_fullStr | Revisiting social vulnerability analysis in Indonesia data |
title_full_unstemmed | Revisiting social vulnerability analysis in Indonesia data |
title_short | Revisiting social vulnerability analysis in Indonesia data |
title_sort | revisiting social vulnerability analysis in indonesia data |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718717/ https://www.ncbi.nlm.nih.gov/pubmed/35005139 http://dx.doi.org/10.1016/j.dib.2021.107743 |
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