🚀 movetrack wraps a hidden Markov model to reconstruct flight paths of small flying animals (like 🐦 songbirds & 🦇 bats) from radio-telemetry data like Motus.
✅ GPS-validated
✅ No advanced math needed
Track the untrackable.
🔗 https://g-rppl.codeberg.page/movetrack
🚨 New #preprint on #EcoEvoRxiv!
movetrack: An R package for modeling flight paths from radio-telemetry networks
Advance your research with our 5-day live online course starting May 12th:
Movement Ecology using R
Designed for researchers working with animal tracking and telemetry data.
Instructors: Dr. Luca Börger and Dr. Garrett Street.
Full details:
https://www.prstats.org/course/movement-ecology-using-r-move07/
#MovementEcology
#RStats
#SpatialEcology
#AnimalMovement
#WildlifeResearch
#QuantitativeEcology
#ConservationScience
If this course might be useful to others in your field, please repost or share within your networks and communities.
First swift arrived yesterday at the colony. This one carrying one of our GPS loggers.
Mandatory, Thin Lizzy - The Boys are Back in Town song:
https://www.youtube.com/watch?v=wIE5wwvicew
#ornithology #migration #swifts #ecology #movementecology #logging #GPS
New paper with Beate Zein
&
@jedalong :
⭐A new data-driven paradigm for the study of avian migratory navigation⭐
We propose how the multi-modal multi-scale nature of navigation could be studied w/ data mining, machine learning & AI.
https://link.springer.com/article/10.1186/s40462-025-00543-8
#navigation #migration #DataScience #SpatialDataScience #birds #MovementEcology
Avian navigation has fascinated researchers for many years. Yet, despite a vast amount of literature on the topic it remains a mystery how birds are able to find their way across long distances while relying only on cues available locally and reacting to those cues on the fly. Navigation is multi-modal, in that birds may use different cues at different times as a response to environmental conditions they find themselves in. It also operates at different spatial and temporal scales, where different strategies may be used at different parts of the journey. This multi-modal and multi-scale nature of navigation has however been challenging to study, since it would require long-term tracking data along with contemporaneous and co-located information on environmental cues. In this paper we propose a new alternative data-driven paradigm to the study of avian navigation. That is, instead of taking a traditional theory-based approach based on posing a research question and then collecting data to study navigation, we propose a data-driven approach, where large amounts of data, not purposedly collected for a specific question, are analysed to identify as-yet-unknown patterns in behaviour. Current technological developments have led to large data collections of both animal tracking data and environmental data, which are openly available to scientists. These open data, combined with a data-driven exploratory approach using data mining, machine learning and artificial intelligence methods, can support identification of unexpected patterns during migration, and lead to a better understanding of multi-modal navigational decision-making across different spatial and temporal scales.
Dive into the dynamic world of animal movement! 🐾 Excited about the 5th edition of the course ANIMAL MOVEMENT DATA ANALYSIS IN R 🦌🐋🐄
Don't miss out: https://www.physalia-courses.org/courses-workshops/mve-r/
#Moveapps is looking for a Technical Assistant (m/f/d) proficient in #RStats and/or #Python to improve their #MovementDataAnalytics plattform
30-meter pass in Pyrenees through which millions of insects migrate
https://english.elpais.com/climate/2024-06-13/the-30-meter-pass-in-the-pyrenees-through-which-millions-of-insects-migrate.html
https://news.ycombinator.com/item?id=40734553
* massive movement of arthropods: >3,000 flies per meter & minute
Most remarkable migrants: Systematic analysis of the Western European insect flyway at Pyrenean mountain pass
https://royalsocietypublishing.org/doi/full/10.1098/rspb.2023.2831
The Most Remarkable Migrants of All: The Fascinating World of Fly Migration
https://www.youtube.com/watch?v=r_alwE7b1do
#Europe #Pyrenees #insects #InsectMigration #biology #ecology #MovementEcology
6-JUN-2024
#Fish in schools have an easier time swimming in rough waters
Schooling fish expend less #energy in turbulent water compared to solitary swimmers
https://www.eurekalert.org/news-releases/1046244 #science #ecology #MovementEcology #Biomechanics #swimming
Swimming through turbulent water is easier for schooling fish compared to solitary swimmers, according to a study published June 6th in the open-access journal PLOS Biology by Yangfan Zhang of Harvard University, Massachusetts, US, and colleagues.
TIL that #MoveApps https://www.moveapps.org have adopted @movingpandas TrajectoryCollections as their #Python default IO 😍 https://docs.moveapps.org/#/create_py_app
It's kind of similar to #QGIS Model Designer but in the browser and specializing in #MovementEcology
#MoveBank #MovementDataScience #MovementData #Ecology #AnimalBehavior
Georg Rüppel
PR Stats
Koen Hufkens, PhD
Dr Urska Demsar
Physalia-courses
Anita Graser 🇪🇺🇺🇦🇬🇪
Victoria Stuart 🇨🇦 🏳️⚧️
michael