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Assessment of Climate Change Vulnerability and Adaptation Strategies for Rural Communities in Nigeria Using Geospatial Data Science
Subject area: Science,Engineering and Technology · Area of research: Climate Change, Africa Development
Abstract
Climate change is a critical global issue with profound impacts on vulnerable rural communities, especially in developing countries like Nigeria. This research aims to assess climate change vulnerability and adaptation strategies in rural Nigerian communities using geospatial data science techniques. The study utilizes a comprehensive methodology that involves data collection, preprocessing, correlation analysis, statistical tests, GIS analysis, time series analysis, and factor analysis. The correlation matrix reveals weak positive associations between the Climate Change Vulnerability Index and geospatial data, as well as climate variables, indicating that specific geospatial patterns and climate conditions may contribute to higher vulnerability levels. The index shows weak negative correlations with socioeconomic data and land use patterns, suggesting that regions with lower socioeconomic development and specific land use characteristics might have slightly higher vulnerability. The research findings underscore the multifaceted nature of climate change vulnerability and adaptation strategies, necessitating context-specific and community-based approaches for sustainable development.
Keywords
Climate Change, Vulnerability, Adaptation Strategies, Geospatial Data Science, Rural Communities.
References
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How to cite this paper
@article{1704931,
author = {Dauda Sulaimon A., Akomolafe E. A.},
title = {Assessment of Climate Change Vulnerability and Adaptation Strategies for Rural Communities in Nigeria Using Geospatial Data Science},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {2},
pages = {217-226},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/17049312.pdf},
abstract = {Climate change is a critical global issue with profound impacts on vulnerable rural communities, especially in developing countries like Nigeria. This research aims to assess climate change vulnerability and adaptation strategies in rural Nigerian communities using geospatial data science techniques. The study utilizes a comprehensive methodology that involves data collection, preprocessing, correlation analysis, statistical tests, GIS analysis, time series analysis, and factor analysis. The correlation matrix reveals weak positive associations between the Climate Change Vulnerability Index and geospatial data, as well as climate variables, indicating that specific geospatial patterns and climate conditions may contribute to higher vulnerability levels. The index shows weak negative correlations with socioeconomic data and land use patterns, suggesting that regions with lower socioeconomic development and specific land use characteristics might have slightly higher vulnerability. The research findings underscore the multifaceted nature of climate change vulnerability and adaptation strategies, necessitating context-specific and community-based approaches for sustainable development.},
keywords = {Climate Change, Vulnerability, Adaptation Strategies, Geospatial Data Science, Rural Communities.},
month = {August},
}