LINE-CHART-RACE-ANIMATION-PYTHON

An animated line chart visualizing the temporal dynamics of Forest Formation (Formasi Hutan) and Oil Palm Plantation (Sawit) land cover areas in Aceh Tamiang Regency, Indonesia from 2000 to 2024. Built with Python, matplotlib.animation, and pandas.

Repositori di GitHub

An animated line chart visualizing the temporal dynamics of Forest Formation (Formasi Hutan) and Oil Palm Plantation (Sawit) land cover areas in Aceh Tamiang Regency, Indonesia from 2000 to 2024. Built with Python, matplotlib.animation, and pandas.

📌 Overview¶

This notebook produces a frame-by-frame animated line plot that progressively reveals land cover area changes across six temporal snapshots (2000, 2005, 2010, 2015, 2020, 2024). The animation is exported as a ile and also rendered interactively in Jupyter/Colab via to_jshtml().

The visualization is intended to support land change analysis in the context of tropical deforestation monitoring, particularly in areas experiencing oil palm encroachment into forested landscapes — a critical concern for mangrove and peatland carbon stock assessments in coastal Aceh.

📂 Repository Structure¶

├── Animasi_Plot_Race.ipynb          # Main notebook
├── README.md                        # Project documentation
└── Rangkaian waktu Wilayah • Wilayah berdasarkan kelas • 1990 - 2024.csv
                                     # Input land cover time-series data

📊 Data Source¶

⚠️ The CSV file must be placed in the same working directory as the notebook before execution.

🔧 Requirements¶

Python Libraries¶

pip install pandas matplotlib pillow

Runtime Environment¶

• Google Colab (recommended) — no local installation required

• Jupyter Notebook / JupyterLab — ensure ffmpeg or pillow is available for animation export

🚀 Usage¶

1. Clone the Repository¶

git clone https://github.com/<your-username>/<repo-name>.git
cd <repo-name>

2. Upload Data (if using Google Colab)¶

from google.colab import files
uploaded = files.upload()  # Upload the CSV file

3. Run the Notebook¶

Execute cells sequentially (Steps 1–10). The animation will:

• Display interactively in the notebook output

• Export as grafik_garis_temporal.gif in the working directory

🧱 Notebook Structure¶

⚙️ Key Parameters¶

# Temporal snapshots used in animation
years = ['2000', '2005', '2010', '2015', '2020', '2024']

# Animation settings
interval = 800      # Milliseconds between frames
fps      = 1.5      # Frames per second for GIF export

# Color scheme
colors = {
    'Formasi Hutan': '#2ca02c',   # Forest green
    'Sawit':         '#9467bd'    # Purple (oil palm)
}

📤 Output¶

⚠️ Known Issues & Notes¶

• Cell dependency: Steps 6–9 reference ax, fig, line_hutan, etc., which must be initialized before those cells run. Ensure all cells are executed in order.

• Missing fig, ax initialization: The notebook as structured requires a fig, ax = plt.subplots(...) cell to be added before Step 6 for standalone execution outside the original Colab session.

• Title range mismatch: The chart title reads 2000–2014 but the data and animation cover 2000–2024. Update the title string in Step 6 accordingly.

🌍 Scientific Context¶

This animation supports temporal land cover analysis relevant to:

• Tropical deforestation monitoring in Sumatra’s coastal regencies

• Carbon stock change assessment — forest-to-oil-palm conversion represents a significant reduction in above-ground biomass and soil organic carbon

• Mangrove buffer zone analysis — Aceh Tamiang contains coastal mangrove ecosystems sensitive to upstream land use pressure

• Integration with remote sensing indices (NDVI, EVI, LSWI) derived from Landsat or Sentinel-2 time series for cross-validation of land cover transitions

Author¶

Name : Defani Arman Alfitriansyah Institution : Universitas Kuningan

📝 License¶

This project is licensed under the MIT License.¶

Notebook¶

Notebook dari repositori ini, tampil lengkap dengan sel kode dan hasilnya:

• Animasi_Plot_Race.ipynb · GitHub · Colab