Machine learning-based spatial data development for optimizing astronomical observatory sites in Indonesia
- DOI
- 10.1371/journal.pone.0293190
- Published
- 2023-10-20
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0293190,
title = {Machine learning-based spatial data development for optimizing astronomical observatory sites in Indonesia},
author = {Anjar Dimara Sakti and Muhammad Rizky Zakiar and Cokro Santoso and Nila Armelia Windasari and Anton Timur Jaelani and Seny Damayanti and Tania Septi Anggraini and Anissa Dicky Putri and Delik Hudalah and Albertus Deliar},
year = {2023},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0293190},
url = {https://doi.org/10.1371/journal.pone.0293190}
}RIS
TY - JOUR TI - Machine learning-based spatial data development for optimizing astronomical observatory sites in Indonesia AU - Anjar Dimara Sakti AU - Muhammad Rizky Zakiar AU - Cokro Santoso AU - Nila Armelia Windasari AU - Anton Timur Jaelani AU - Seny Damayanti AU - Tania Septi Anggraini AU - Anissa Dicky Putri AU - Delik Hudalah AU - Albertus Deliar PY - 2023 JO - PLOS ONE DO - 10.1371/journal.pone.0293190 UR - https://doi.org/10.1371/journal.pone.0293190 ER -
APA
Sakti, A. D., Zakiar, M. R., Santoso, C., Windasari, N. A., Jaelani, A. T., Damayanti, S., Anggraini, T. S., Putri, A. D., Hudalah, D., & Deliar, A. (2023). Machine learning-based spatial data development for optimizing astronomical observatory sites in Indonesia. PLOS ONE. https://doi.org/10.1371/journal.pone.0293190
Source records
- crossref · retrieved 2026-09-24T23:15:38.077Z