Central Park Squirrel Analysis Presentation
Introduction
- Goal: Research the location, demographics, and behaviors of squirrels in Central Park, NYC.
- Data Source: The Squirrel Census.
- Key Questions:
- Where are squirrels most concentrated?
- What are their primary fur colors?
- How do movement patterns differ between AM/PM?
- Common activities?
- Unique behaviors?
Squirrel Highways
![Inspiration: Squirrel Highways]()
This work is inspired by a map titled Squirrel Highways by Dennis Wood, a nondescript map of telephone lines in a suburban neighborhood.
Methodology
- Exploratory Questions:
- Concentration patterns.
- Fur color distribution.
- Movement by time of day.
- Activity distributions.
- Unique behaviors.
- Approach:
- Interactive heatmaps for spatial data.
- Bar charts for categorical data.
- Observational insights.
Squirrel Concentration Patterns
Squirrel Concentration Patterns
- Insights:
- High concentrations in north and south Central Park.
- Few squirrels in forested regions and water bodies.
- Future Idea: Use GPS tagging for detailed tracking.
Fur Color Distribution
![Fur Color Distribution]()
Fur Color Distribution
- Insights:
- Majority are gray squirrels (~2500).
- Cinnamon and black varieties are rarer.
- No white squirrels observed.
Movement Patterns (AM vs. PM)
Movement Patterns (AM vs. PM)
- Insights:
- Squirrels more active in the PM.
- AM sightings clustered near water bodies.
Common Activities
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Common Activities
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Common Activities
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Unique Behaviors
- Interesting Observations:
- Squirrels fighting pigeons.
- Hanging upside down while eating.
- Interaction with humans (e.g., eating food thrown at them).
- Future Work:
- Map unique occurrences with descriptions.
- Explore word cloud visualization for qualitative data.
Conclusion
- Key Takeaways:
- Central Park’s squirrel population is diverse and concentrated in specific areas.
- Behavioral patterns vary by time and activity.
- Unique dataset with potential for deeper analysis.
- Challenges Overcome:
- Customizing visualizations.
- Representing unique data fields effectively.
Future Work
- Use GPS tracking for detailed movement patterns.
- Improve visualization techniques (e.g., word clouds).
- Extend analysis to include seasonal trends.
- Incorporate human-squirrel interaction dynamics.
Thank you!