Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
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Updated
Apr 28, 2025 - Julia
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Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
R package - Animal movement modelling using hidden Markov models
Generates vertical profiles of birds from weather radar volume scans
Remote Sensing for Movement Ecology
R package for analysis and visualisation of biological signals in weather radar data
R package to position animals with solar geolocation archival tags
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
Individual-based simulation of multistate movements in rivers, heterogeneous and homogeneous spaces incorporating local landscape bias in R
Detect signals of wildlife tracking systems with RTL SDR devices.
windR is a R package to connect animal tracking data with wind data (or sea current data) and allows to visualize animal movements within the flow of the medium that they moved in.
R package for fitting animal movement models to Argos (or other types of location) data
A stochastic agent-based model for predicting raptor movements during updraft-subsidized directional flights
Open-source Software for Reliable VHF Wildlife Tracking
An application designed to help researchers plan animal tracking projects tailored to their specific research questions.
Assessment of individual specialization in the use of space by animals
This project aims to bring together the fields of movement ecology and data geovisualisation in order to develop an advanced web-based movement data visualisation tool, EcoloGIS. This is my Final Year Project for my Computer Science degree at Aston University.
Collective Movement Explorer - Explore and Analyse Collective Animal Behaviour
Empirically Informed Random Trajectory Generator in 3-D.
Tools for pre-processing high-throughput animal tracking data.
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