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An interactive data visualization exploring the intersection of human air travel and natural bird migration — revealing where and when aircraft are most at risk of encountering wildlife.
Explore VisualizationsBird strikes pose real economic and safety threats to aviation, causing significant repair costs and operational disruptions every year.
By overlaying strike incidents with migratory corridors we identify risk hotspots at specific airports, altitudes, and seasons.
Our multi-dimensional visualization lets users explore several aspects of the dataset within a single, cohesive interface.
288 810 incidents · 110 columns · FAA data from 1990 – 2023
Covers species, aircraft type, flight phase, location, flight speed and altitude, weather conditions, and economic damage — making it one of the most comprehensive wildlife-strike records available.
View on Kaggle →42 844 records · 26 columns · GPS telemetry from 1993 – 2023
Provides directional migration routes with full taxonomic classifications and IUCN conservation status, enabling direct comparison with FAA incident locations.
View on figshare →Key findings from our preliminary analysis of both datasets. Full notebook available on Google Colab.

A clear seasonal peak in summer months — coinciding with the main bird-migration windows.

A steady upward trend in reported strikes over the 33-year period, reflecting both increased reporting and air traffic growth.

Cost and fatality columns are largely empty; weather and coordinate fields have ~10 % gaps requiring targeted imputation.

A bimodal pattern: the primary surge in late summer (July–September) and a secondary spring peak (March–April).
At the heart of our dashboard is an interactive map that reveals bird strike hotspots and migration routes based on your customized slider inputs. This spatial data is directly linked to an aircraft damage profile, where you can explore interactive blueprint heatmaps to understand the severity and location of impacts across different types of aircraft. To complete the picture, a dynamic bar chart provides key statistical insights and trends that automatically update alongside your map interactions to offer a comprehensive view of the data.
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Every day, thousands of aircraft share the sky with millions of migrating birds. When these two worlds collide, the results are costly—and occasionally catastrophic. Three Little Birds bridges environmental science and aviation safety, turning historical incident data into actionable spatial-temporal insights.
Aviation safety typically treats bird strikes as isolated, unpredictable anomalies. By merging over 280,000 FAA incident reports (1990–2023) with modern high-resolution satellite telemetry tracking global avian migration networks, we uncover a different story. The sky isn't an empty void; it has invisible, highly congested seasonal highways where human engineering directly intersects with ancient evolutionary pathways.
Our exploratory analysis revealed that these encounters are highly predictable. While bird strikes are fundamentally "bottom-heavy", with a median incident altitude of just 50 feet, the true risk profile shifts dramatically across seasons. We discovered a powerful bimodal pattern: a massive migration surge in late summer (July–September) overlapping perfectly with peak commercial air travel schedules, followed by a secondary spring corridor in March and April.
This dashboard moves beyond static graphs to provide a cohesive, multi-dimensional control room. By interacting with our hotspot maps, structural damage heatmaps, and temporal trend finders, aviation safety officers can isolate high-risk parameters, environmental researchers can map flyway encroachments, and the public can view our shared aerial ecosystems through a rigorous, data-driven lens.
Project proposal, problem definition, and initial exploratory data analysis (EDA) of the FAA and avian telemetry datasets.
View EDA TrendsFunctional pipeline architecture, structural layout, and initial deployment of the interactive map prototype.
The finalized interactive dashboard featuring linked visual components, optimized data caching, and full multi-variable filtering.
Launch Live AppSCIPER 424398
SCIPER 330169
SCIPER 423634
Data Visualization (COM-480) · EPFL · 2026