Clustering spatial autoregressive kriging model for climate: A bibliometric analysis approach
Climate change is caused by temperature, rainfall, and wind variation in locations that last a long time. This change can be described and predicted using a spatial model, one of which is the Clustering Spatial Autoregressive (SAR) Kriging model. Therefore, this research aims to conduct a b...
Main Authors: | Annisa Nur Falah, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Juli Rejito |
---|---|
Format: | Article |
Language: | English |
Published: |
Growing Science
2023-01-01
|
Series: | International Journal of Data and Network Science |
Online Access: | http://www.growingscience.com/ijds/Vol7/ijdns_2023_30.pdf |
Similar Items
-
The Hybrid Modeling of Spatial Autoregressive Exogenous Using Casetti’s Model Approach for the Prediction of Rainfall
by: Annisa Nur Falah, et al.
Published: (2023-09-01) -
Spasial data mining menggunakan model SAR-Kriging (Spatial Autoregressive-Kriging) untuk pemetaan mutu pendidikan di Indonesia
by: ABDULLAH, Atje Setiawan
Published: (2009) -
Comparison of Spatial Weight Matrices in Spatial Autoregressive Model: Case Study of Intangible Cultural Heritage in Indonesia
by: Muhamad Sobari, et al.
Published: (2023-01-01) -
Literature Review on Integrating Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) and Deep Neural Networks in Machine Learning for Climate Forecasting
by: Devi Munandar, et al.
Published: (2023-07-01) -
GSTARI-X-ARCH Model with Data Mining Approach for Forecasting Climate in West Java
by: Putri Monika, et al.
Published: (2022-11-01)