This project presents a visual analysis of whale and dolphin sightings using a dataset provided by OBIS-SEAMAP.
The analysis explores spatial and temporal patterns of marine mammals across different geographic regions and time periods, using a variety of visual techniques.
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📍 Geospatial Mapping
Usingscatter_geo, whale and dolphin sightings are plotted globally based on latitude and longitude. -
🌡️ Environmental Analysis
The dataset includes sea surface temperature, bathymetry (depth), and latitude, allowing comparisons across species and oceanic regions. -
📦 Species Grouping and Aggregation
Observations are grouped by species, enabling average-depth, temperature, and spatial distribution analysis. -
📈 Temporal Trend Analysis
Sightings over multiple decades are visualized to explore possible seasonal or long-term trends. -
🎨 Visual Methods Used
- Heatmaps
- Boxplots
- Countplots
- Scatter plots
- Strip plots
- Interactive geographical maps (
plotly)
WhaleDataset-VisualAnalysis/ ├── Marine Mammal - Visual Analysis.ipynb # Main notebook ├── assets/ # Saved plot images (optional) │ └── scatter_geo_map.png ├── LICENSE # MIT License for code ├── README.md # This file └── requirements.txt # Python dependencies
This project uses marine mammal observation data from OBIS-SEAMAP.
⚠️ Note: The dataset itself is not included in this repository due to OBIS-SEAMAP’s data usage policy.
You can download the data directly from OBIS-SEAMAP and must comply with their Terms of Use.
Proper citation of both OBIS-SEAMAP and the original dataset providers is required.
Halpin, P.N., A.J. Read, et al. 2009. OBIS-SEAMAP: The world data center for marine mammal, sea bird, and sea turtle distributions. Oceanography 22(2):104–115.
This project is licensed under the MIT License — see the LICENSE file for details.




