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Annisa Nur Falah

As seen in: MDPI
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Articles

An Expanded Spatial Durbin Model with Ordinary Kriging of Unobserved Big Climate Data

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By Annisa Nur Falah, Yudhie Andriyana, Budi Nurani Ruchjana, Eddy Hermawan
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Spatial Durbin Model with Expansion Using Casetti’s Approach: A Case Study for Rainfall Prediction in Java Island, Indonesia

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By Yudhie Andriyana, Annisa Nur Falah, Budi Nurani Ruchjana, Albertus Sulaiman
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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The Hybrid Modeling of Spatial Autoregressive Exogenous Using Casetti’s Model Approach for the Prediction of Rainfall

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By Budi Nurani Ruchjana, Atje Setiawan Abdullah, Annisa Nur Falah, Juli Rejito
| MDPI
1. Introduction Water is very important for all living organisms, including humans, thereby ranking as one of the most indispensable resources in the environment [1]. The phenomenon of climate change and global warming has significantly reshaped numerous environmental aspects across multiple countries. This transformation carries the potential for profound consequences, imperiling the populace, agriculture, ecosystems, economy, and industry.
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