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Talemwa-J/Research-journey-2024-2026

Domain:

climateenvironment and energy

Record type:

project
Creator:
Tal
Host:
Machine learning and statistical models for land-use carbon accounting and emissions analysis in Tanzania. # Land Use Change and CO₂ Emissions Modeling in Tanzania ## Project Overview This repository contains MATLAB scripts, datasets, and LaTeX manuscript files used to analyze the relationship between **land use change and CO₂ emissions in Tanzania**. The project applies **statistical analysis, visualization, and machine learning models** to explore how land-use transitions, population growth, and economic development influence emissions over time. The repository also contains a **LaTeX manuscript template** used for preparing the research article. --- # Repository Structure ``` ├── Histogram.m ├── residualQQPlot.m ├── Sinariors.m ├── emissionPopulationGdp_over_time.m ├── emissions_by_landUse_Type.m ├── Correlation.R ├── Average CO2 Emissions by Land Use Type.R ├── Emissions Forecast Comparison.m ├── rf_model.R ├── LUC and Emissions data in Tanzania ├── plos_latex_template.tex ├── plos_bibtex_sample.bib └── README.md ``` --- # Description of MATLAB Scripts ### Histogram.m Generates histogram plots to visualize the distribution of key variables in the dataset. ### residualQQPlot.m Creates Q-Q plots to assess whether regression residuals follow a normal distribution. ### Sinariors.m Runs scenario simulations for different land-use change and emissions pathways. ### emissionPopulationGdp_over_time.m Visualizes the relationship between **CO₂ emissions, population growth, and GDP** over time. ### emissions_by_landUse_Type.m Analyzes emissions associated with different **land-use categories** such as forest, cropland, and settlements. ### Correlation.m Computes and visualizes correlation relationships among variables including emissions, GDP, population, and land-use types. ### Average CO2 Emissions by Land Use Type.m Calculates and visualizes the **average emissions contribution of each land-use type**. ### Emissions Forecast Comparison.m Compares emissions predictions from different modeling approaches. ### rf_model.m Implements a **Random Forest m …

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