First Week of Birding Data!
Hey everyone! This is the first published week of birding data! It has been a great week here in Arlington. The weather has been slowly warming up, and the birds have been active!
Here, we have some great data to share with you. While I wasn’t able to get out every day, this was still a fantastic start to logging some observations. I look forward to capturing more data and exploring predictive modeling as we collect more information.
Bird Behavior Observations
This pie chart represents the different behaviors observed among the birds I encountered this week. The most common behavior was "Sitting in Water", making up 25% of observations. This is likely due to the large presence of waterfowl in the areas I visited.
Other notable behaviors include:
Flying (16.7%) – Many birds were actively moving between areas.
Sitting in Trees, Searching for Food, Worm Hunting, and Other Behaviors (each ~8.3%) – This highlights the diversity of bird activities.
Tracking these behaviors over time might reveal patterns in bird activity related to weather or time of day.
Bird Sightings by Location
This stacked bar chart breaks down bird sightings by location. The Long Bridge Trail had the overwhelming majority of bird sightings, while the Work Walk location had significantly fewer.
The different colored bars represent various bird species, showing that Long Bridge Trail had a greater variety of species. This could indicate that this location is a prime birding spot due to habitat diversity, water access, or food availability.
Most Frequently Spotted Birds
This bar chart shows which bird species were spotted the most. The Canada Goose dominates the chart, with over 50 sightings, followed by the American Herring Gull and American Robin.
Notable takeaways:
Waterfowl dominate the sightings, which aligns with the previous chart showing high bird activity in water.
Smaller songbirds like the Northern Cardinal and European Starling appear in lower numbers, possibly due to location choices.
As I continue collecting data, I’ll be curious to see how bird populations shift with the seasons.
Final Thoughts:
This was a great start to birding data collection! Some things I’m considering for next time:
Adding weather data to see if it affects sightings.
Tracking birding session start times to analyze activity patterns.
Exploring predictive modeling to estimate bird sightings based on conditions.
Looking forward to sharing more soon! Let me know what other data points might be interesting to track.
Happy birding! 🐦📊🔍