Recently emerging trends in big data analytic methods for modeling and combating climate change effects
Year: 2024
Type: article
Abstract: Big climate change data have become a pressing issue that organizations faced with methods to analyse data generated from various data types. However, storage, processing, and analysis of data generated from climate change activities are massive, which is challenging for the current algorithms to handle. Therefore, big data analytics methods are designed for significant data that is required to enhance seasonal change monitoring and understanding, ascertain the health risk of climate change, and improve the allocation, and utilisation of natural resources. This paper provides an outlook on big data analytic methods and describes how climate change and sustainability issues can be analysed through these methods. We extensively discuss big data analytic methods, strengths, and weaknesses. The purpose of analysing big climate change using these methods, the common datasets and implementation frameworks for climate change modeling using the big data analytics approach was also discussed. This big data analytics method is well timed to solve the inherent issues of data analysis and easy realization of sustainable development goals.
Source: Energy Informatics
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,390
OpenAlex ID: W4391616189