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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI
Muh. Idil Islami
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Mathematics

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MODEL SPATIO TEMPORAL DATA CURAH HUJAN MENGGUNAKAN KALMAN FILTER DAN ALGORITMA EKSPEKTASI-MAKSIMISASI Amran Amran; Muh. Idil Islami; A. Kresna Jaya; Bambang Bakri
Jurnal Matematika, Statistika dan Komputasi Vol. 17 No. 2 (2021): JANUARY 2021
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jmsk.v17i2.11918

Abstract

Location and time dimension data modeling, also known as spatial-temporal data, generally has high complexity. This study analyzes a spatial-temporal model of rainfall data and climate variables, namely temperature, and humidity. The complexity of the relationship between variables and parameters in the spatial-temporal model is simplified by a hierarchical approach. The parameter estimation of the ratio-temporal model uses the Kalman Filter approaches and the Expectation-Maximization (EM) method combined with the bootstrap method to calculate the standard error estimation. Implementation of the spatial-temporal model on rainfall data in South Sulawesi Province with temperature and humidity shows that there is a relationship between rainfall and temperature and humidity.
Co-Authors A. Kresna Jaya Amran Amran Bambang Bakri