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.

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

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)

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.

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.

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

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.

An application that aims to assist researchers in designing animal tracking projects, by considering specific research questions.

Collective Movement Explorer - Explore and Analyse Collective Animal Behaviour

Empirically Informed Random Trajectory Generator in 3-D.

R Package: Routines for the analysis of passive acoustic telemetry data (Lavender et al., 2023).

This repository implements the procedure from Soleymani et al. (2017) for applying DWT-based segmentation on trajectories of turkey vultures in R