Visualizing Space–Time Multivariate Data Consisting of Discrete and Continuous Variables: A Method for the General Public

Chong-En Li, Bing-Wen Wu, Nae-Wen Kuo, Mei-Hua Yuan

Open source

DOI: 10.3390/foundations4010007
Published: 2024-01-31
Container: Foundations
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/foundations4010007,
  title = {Visualizing Space–Time Multivariate Data Consisting of Discrete and Continuous Variables: A Method for the General Public},
  author = {Chong-En Li and Bing-Wen Wu and Nae-Wen Kuo and Mei-Hua Yuan},
  year = {2024},
  journal = {Foundations},
  doi = {10.3390/foundations4010007},
  url = {https://doi.org/10.3390/foundations4010007}
}

RIS

TY  - JOUR
TI  - Visualizing Space–Time Multivariate Data Consisting of Discrete and Continuous Variables: A Method for the General Public
AU  - Chong-En Li
AU  - Bing-Wen Wu
AU  - Nae-Wen Kuo
AU  - Mei-Hua Yuan
PY  - 2024
JO  - Foundations
DO  - 10.3390/foundations4010007
UR  - https://doi.org/10.3390/foundations4010007
ER  -

APA

Li, C., Wu, B., Kuo, N., & Yuan, M. (2024). Visualizing Space–Time Multivariate Data Consisting of Discrete and Continuous Variables: A Method for the General Public. Foundations. https://doi.org/10.3390/foundations4010007

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crossref · retrieved 2026-09-26T11:38:09.019Z