A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
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Updated
Oct 29, 2026 - Python
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
Spatio-temporal modeling framework for large-scale migration forecasts based on weather radar networks
Using ringing data to optimize geolocator deployment: a case study of the Red-capped Robin-chat Cossypha natalensis in East Africa
This repository contains code associated with the publication linked below.
birdcloud is an attempt to extract 3-dimensional avian signals from weather radar data.
Live world map of bird and animal movement, aggregated from any network or device via WDX
Data validation R package for Intermountain Bird Observatory (2018-19 build)
Open radar-aeroecology lakehouse: turns public weather-radar data into quality-checked, lineage-tracked bird-migration data products.
Motion Studies — bird migration, from a cloud to an archipelago to a sea
Evidence-led analysis of California bird arrival timing using GBIF and eBird observations.
Follow one named, real wild animal from Movebank — and stay with the story when the signal stops. A continuity-first tracker: grounded narrative, a graceful resolution, and a successor handoff. Node 24, zero runtime deps.
Nocturnal bird migration map of the Netherlands
🦅 Interactive visualization of bird abundance across geography, seasons, and time.
Lidar-based bird-flight monitoring: deterministic, explainable perception on a production-grade data platform (edge streaming, lakehouse, orchestration, data quality, DevOps).
Open concept and technical specification for a dynamic wildlife (bird flock) constraint layer for UTM/U-Space systems
Pronostico publico de migracion nocturna de aves por ciudad en Europa, con avisos de luces fuera, sobre los perfiles de radar abiertos de Aloft
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