This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.18517/ijods.2.2.69-76.2021. This is version 1 of this Preprint.
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Abstract
ENSO is a phenomenon that is suspected to influence rice production in Indonesia. In this study, we try to find a direct correlation between ENSO and rice production in this region by using various latest computational time series methods, such as Dynamic Time Warping, Wavelet Coherence, and Bayesian Structural Time Series to quantify the statistical relationship between the Multivariate ENSO Index on annual rice production in 1961 - 2019. We did not find a direct correlation between these two variables, which may be due to the local influence of ENSO on different rice production areas in Indonesia.
DOI
https://doi.org/10.31223/X5W33N
Subjects
Climate, Environmental Sciences, Physical Sciences and Mathematics
Keywords
ENSO, Wavelet transform
Dates
Published: 2021-08-15 10:33
Last Updated: 2021-08-15 17:33
License
CC BY Attribution 4.0 International
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Conflict of interest statement:
None
Data Availability (Reason not available):
https://github.com/sandyherho/ensoIndoRice
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