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:
    1. Where are squirrels most concentrated?
    2. What are their primary fur colors?
    3. How do movement patterns differ between AM/PM?
    4. Common activities?
    5. 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:
    1. Concentration patterns.
    2. Fur color distribution.
    3. Movement by time of day.
    4. Activity distributions.
    5. 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

Common Activities

Common Activities

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!