Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
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Updated
Sep 2, 2025 - Julia
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
An R package for visualizing movement data (e.g. from GPS tracking) and synchronous environmental data (e.g. from remote sensing) as 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
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
R package to position animals with solar geolocation archival tags
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.
A stochastic agent-based model for predicting raptor movements during updraft-subsidized directional flights
An application designed to help researchers plan animal tracking projects tailored to their specific research questions.
Open-source Software for Reliable VHF Wildlife Tracking
R package for fitting animal movement models to Argos (or other types of location) data
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.
Surface water mapping using Sentinel-1 and Google Earth Engine
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