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Code and dataset for analyzing statistical relationship between ENSO and rice production in Indonesia

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Does ENSO significantly affect rice production in Indonesia? A preliminary study using computational time-series approach

License: GPL v3 GitHub watchers No Maintenance Intended

This GitHub repository contains code used for Does ENSO significantly affect rice production in Indonesia? A preliminary study using computational time-series approach created by Sandy H. S. Herho at Paleoclimate CoLaboratory, University of Maryland College Park, Ferio Brahmana at Pacmann Academy, Algoritma Cerdas Indonesia Inc., Katarina Eveleyn Permata Herho at Geological Engineering Study Program, Trisakti University, and Dasapta E. Irawan at Applied Geology Research Group, Bandung Institute of Technology.

License

This code is released under the GPL-3.0 License.

Cite

If you find this code useful in your study, please, consider citing our paper:

@article{herho21,
         author={S. H. S. Herho and F. Brahmana and K. E. P. Herho and D. E. Irawan},
         title={Does ENSO significantly affect rice production in Indonesia? A preliminary study using computational time-series approach},
         journal={International Journal of Data Science},
         year={2022},
         volume={2},
         number={2},
         pages={69 - 76},
         doi={https://doi.org/10.18517/ijods.2.2.69-76.2021}
}

Requirements

We run the code under the following computational environments:

  1. Python 3.8.5
  1. R 3.5.2

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Code and dataset for analyzing statistical relationship between ENSO and rice production in Indonesia

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