swforrest
I'm a PhD candidate researching animal movement, and developing novel methods for processing GPS and additional telemetry data.
Queensland University of TechnologyBrisbane, Australia
Pinned Repositories
CV
Creating a CV with markdown (and the vitae) package
DeepSSF_ISBE2024
Additional details to accompany a poster titled 'Predicting animal movement with deepSSF: a deep learning step selection framework
dynamic_SSF_sims
Generating simulations from step selection functions with temporal dynamics
fastbook
The fastai book, published as Jupyter Notebooks
geospatial_share_animal_movement
Resources for the Geospatial Share animal movement workshop
GIT_Workshop
Kaka_HR_DynamicSpaceUse
Data and code from paper assessing home ranges and space use variability of kākā reintroduced to Orokonui Ecosanctuary
Kaka_ResourceUsePrediction
Fitting step selection functions to kākā (Nestor meridionalis) in Orokonui Ecosanctuary, New Zealand, and generating predictions in the wider landscape.
Kaka_SpatioTemporalActivity
Analysing accelerometry and GPS data of kākā (Nestor meridionalis).
SWIFT-GPS-Test
Stationary test data used in the paper - Moving wildlife tracking forward under forested conditions with the SWIFT GPS algorithm
swforrest's Repositories
swforrest/geospatial_share_animal_movement
Resources for the Geospatial Share animal movement workshop
swforrest/dynamic_SSF_sims
Generating simulations from step selection functions with temporal dynamics
swforrest/Kaka_SpatioTemporalActivity
Analysing accelerometry and GPS data of kākā (Nestor meridionalis).
swforrest/CV
Creating a CV with markdown (and the vitae) package
swforrest/fastbook
The fastai book, published as Jupyter Notebooks
swforrest/GIT_Workshop
swforrest/Kaka_HR_DynamicSpaceUse
Data and code from paper assessing home ranges and space use variability of kākā reintroduced to Orokonui Ecosanctuary
swforrest/Kaka_ResourceUsePrediction
Fitting step selection functions to kākā (Nestor meridionalis) in Orokonui Ecosanctuary, New Zealand, and generating predictions in the wider landscape.
swforrest/paper-codes
swforrest/SWIFT-GPS-Test
Stationary test data used in the paper - Moving wildlife tracking forward under forested conditions with the SWIFT GPS algorithm
swforrest/pattern_prediction_NN_Shangying
Use LSTM neural network for 1D distributional data prediction
swforrest/raster2data
This repository provides some introductory guidance for working with spatial image files, like rasters, and converting these to dataframes in R in order to perform statistical analyses. Includes an example satellite image and R code.
swforrest/resbaz2023
repo for resbaz2023 reproducible research in R workshop
swforrest/Rethinking-Fall-22-Group-Audit
This fork of McElreath' Statistical Rethinking course materials is adapted for Fall 2022 community-led audit on the University of Bayes Discord Server.
swforrest/swforrest
swforrest/swforrest.github.io