The Role of Statistical Analysis in Ecological Research

Environmental problems are one of the most pressing issues facing humanity today. Statistical analysis is important in identifying, monitoring and solving environmental problems such as global warming, atmospheric pollution, depletion of water resources, soil degradation. This study is dedicated to the study of statistical methods in the process of collecting, analyzing and drawing effective conclusions from environmental data.The main goal of this work is to study what methods of statistical analysis are used in ecological research, and what solutions can be offered to improve the ecological situation with their help. In the study, the application of statistical analysis methods, in particular variance analysis, regression, clustering and forecasting models to environmental data, is detailed. At the same time, the possibilities of artificial intelligence technologies in the analysis of large environmental data (Big Data) are also considered.

Publication Details

Journal
Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Published
2025-02-12
Primary Topic
Biological and pharmacological studies of plants
Type
article
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article

The Role of Statistical Analysis in Ecological Research

Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Biological and pharmacological studies of plants
article

The Role of Statistical Analysis in Ecological Research

article en

Abstract

Environmental problems are one of the most pressing issues facing humanity today. Statistical analysis is important in identifying, monitoring and solving environmental problems such as global warming, atmospheric pollution, depletion of water resources, soil degradation. This study is dedicated to the study of statistical methods in the process of collecting, analyzing and drawing effective conclusions from environmental data.The main goal of this work is to study what methods of statistical analysis are used in ecological research, and what solutions can be offered to improve the ecological situation with their help. In the study, the application of statistical analysis methods, in particular variance analysis, regression, clustering and forecasting models to environmental data, is detailed. At the same time, the possibilities of artificial intelligence technologies in the analysis of large environmental data (Big Data) are also considered.

Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Openalex Percentile: Top 42%
Biological and pharmacological studies of plants
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