Bart Kranstauber Profile
Bart Kranstauber

@bart_kra

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72
Following
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Animal movement researcher @IBED_UvA

Joined March 2021
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@bart_kra
Bart Kranstauber
10 months
RT @barthoekstra: It's a special day when the newspaper you grew up with translates your latest research into a beautiful interactive. “Tre….
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@bart_kra
Bart Kranstauber
1 year
RT @LippertFiona: Had a great time presenting our latest paper on hybrid modeling of broad-front bird migration at the @AI_for_Science work….
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@bart_kra
Bart Kranstauber
1 year
Need to analyze animal tracking data in R? Just out, our (@AnneKScharf & @safilabmpi ) paper in @MethodsEcolEvol describing the R package move2 ( for analyzing movement data, including reading data directly from @MovebankTeam.
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@bart_kra
Bart Kranstauber
1 year
RT @barthoekstra: 📢Nieuw rapport & open dataset: Vogeltrek in kaart gebracht met weer- & vogelradars📡🐦‍⬛🐦. In opdracht van @AmsterdamNL, @G….
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@bart_kra
Bart Kranstauber
1 year
RT @bradaric_maja: Delving into the applied side of our #NorthSea nocturnal #bird migration forecasts, I write about the model development….
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@bart_kra
Bart Kranstauber
2 years
RT @UvA_Amsterdam: 🐦🧨Tot een afstand van 10 kilometer hebben #vogels last van het massaal afsteken van #vuurwerk zoals tijdens #oudennieuw.….
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@bart_kra
Bart Kranstauber
2 years
RT @BaranesJudy: 1/3 It's #WorldMigratoryBirdDay! Did you know that #radar is a great tool to study bird migration & many birds migrate @ n….
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@bart_kra
Bart Kranstauber
3 years
Congratulations @LippertFiona ! Really exciting the paper is now out!.
@LippertFiona
Fiona Lippert
3 years
Excited to announce that our paper "Learning to predict spatiotemporal movement dynamics from weather radar networks" is available @MethodsEcolEvol! We use #DeepLearning to generate comprehensive bird migration forecasts. #AI4science #radar #aeroecology.
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@bart_kra
Bart Kranstauber
3 years
RT @hvangasteren: Our paper to better forecast bird migration extracted from weathers as part of our warning system for the Air Force, @Kon….
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@bart_kra
Bart Kranstauber
3 years
RT @AdriaanDokter: New release of our #rstats package on CRAN! 📡📡🐦🐦🐛New functions, features and bugfixes #radar #or….
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@bart_kra
Bart Kranstauber
4 years
Now also with video
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@bart_kra
Bart Kranstauber
4 years
6/6 #BOUsci21 #SESH3 Thanks to Royal Netherlands Air Force & @globam_net for support and coauthors Willem Bouten @hvangasteren & @BaranesJudy
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@bart_kra
Bart Kranstauber
4 years
5/6 #BOUsci21 #SESH3 Using a spatially explicit approach we want to investigate how habitat features influence bird movement. Here the abundance of birds increases when rain (black) ceases and wind directions changes
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@bart_kra
Bart Kranstauber
4 years
4/6 #BOUsci21 #SESH3 Predictions are evaluated using predictions generated for years omitted from the analysis. Migration is more predictable in fall and environmental conditions also contribute more to accurate predictions in fall (threshold 10 birds/km^2).
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@bart_kra
Bart Kranstauber
4 years
3/6 #BOUsci21 #SESH3 Using an ensemble model we investigate how adding weather conditions improve the model. In spring wind and temperature are key, in fall the accumulation of migrants due to wind from the south preventing them from making progress.
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@bart_kra
Bart Kranstauber
4 years
2/6 #BOUsci21 #SESH3 A phenological model identifies key migratory times as a product of day of the year and time of the day based on 10 years of data from the Netherlands. Features like migration peaks in fall and migrant arrival from the UK in spring are found.
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@bart_kra
Bart Kranstauber
4 years
1/6 #BOUsci21 #SESH3 Weather radars are used to monitor the nocturnal migration of birds across continents. We use the data to develop predictive models for bird migration to reduce the risk of bird-strikes (bird-aircraft collisions).
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