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Yims2000/Climate-Variability-Analysis

Domain:

climate

Record type:

dataset
Creator:
Yim
Host:
Rainfall and Temperature Analysis (1996-2025) for Sabon Gari Local Government Area, Kaduna State # Climate Variability Analysis of Sabon Gari Local Government Area Rainfall and Temperature Analysis (1996-2025) for Sabon Gari Local Government Area, Kaduna State # Climate Variability Analysis of Sabon Gari Local Government Area, Kaduna State (1996–2025) ## Project Overview This project presents a statistical analysis of long-term climate data for Sabon Gari Local Government Area, Kaduna State, Nigeria, using annual rainfall and mean air temperature records obtained from the NASA POWER database. The study investigates climate variability between 1996 and 2025 by examining rainfall and temperature trends and evaluating the statistical relationship between both climatic variables using IBM SPSS Statistics. The findings provide quantitative evidence that can support environmental planning, agricultural decision-making, climate adaptation strategies, and academic research. --- ## Study Area Sabon Gari Local Government Area is located in Kaduna State, northwestern Nigeria. The area is an important agricultural zone where variations in rainfall and temperature directly influence crop production, water availability, and environmental sustainability. --- ## Objectives - Examine the trend of annual rainfall in Sabon Gari Local Government Area from 1996 to 2025. - Examine the trend of annual mean temperature in Sabon Gari Local Government Area from 1996 to 2025. - Determine the relationship between rainfall and temperature in Sabon Gari Local Government Area from 1996-2025. - Generate statistical summaries and visualizations for climate interpretation. --- ## Data Source NASA POWER Data Access Viewer Period Covered: 1996–2025 Variables - Year - Annual Rainfall (mm) - Annual Mean Temperature (°C) ## Software - IBM SPSS Statistics - Microsoft Excel ## Methodology The following statistical procedures were carried out: - Data cleaning and validation - Descriptive statistics - Annual rainfall trend analysis - Annual temperature trend analysis - Pearson c …

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