| Autor: |
Anayo Chukwu Ikegwu, Henry Friday Nweke, Emmanuel Mkpojiogu, Chioma Virginia Anikwe, Sylvester Agbo Igwe, Uzoma Rita Alo |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Energy Informatics, Vol 7, Iss 1, Pp 1-28 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2520-8942 |
| DOI: |
10.1186/s42162-024-00307-5 |
| Popis: |
Abstract Big climate change data have become a pressing issue that organizations face with methods to analyze data generated from various data types. Moreover, storage, processing, and analysis of data generated from climate change activities are becoming very massive, and are challenging for the current algorithms to handle. Therefore, big data analytics methods are designed for significantly large amounts of data required to enhance seasonal change monitoring and understand and ascertain the health risks of climate change. In addition, analysis of climate change data would improve the allocation, and utilisation of natural resources. This paper provides an extensive discussion of big data analytic methods for climate data analysis and investigates how climate change and sustainability issues can be analyzed through these approaches. We further present the big data analytic methods, strengths, and weaknesses, and the essence of analyzing big climate change using these methods. The common datasets, implementation frameworks for climate change modeling, and future research directions were also presented to enhance the clarity of these compelling climate change analysis challenges. This big data analytics method is well-timed to solve the inherent issues of data analysis and easy realization of sustainable development goals. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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