Code and data in support of the paper: Etherington TR, O’Sullivan D, Perry GLW, Richards DR, Wainwright J (In Press) A least-cost network neutral landscape model of human sites and routes. Landscape Ecology

Python and NetLogo code used to create binary space partitioning neutral landscape models in support of the paper: Etherington TR, Morgan FJ, O’Sullivan D. Binary space partitioning generates hierarchical and rectilinear neutral landscape models suitable for human-dominated landscapes

R code to reproduce the figures used in: Etherington TR, Brock JMP, Perry GLW, Wyse SV (2021) Implementing the Transparency and Openness Promotion (TOP) Guidelines for data and code to support computational reproducibility within the New Zealand Journal of Ecology. New Zealand Journal of Ecology

Python code used to process data in the production of A History of Open Weather in New Zealand (HOWNZ): an open access 1 km resolution monthly 1910-2019 time-series of interpolated temperature and rainfall grids with associated uncertainty

R and Python code to generate fuzzy alpha-shapes that can be used to map uncertain spatial objects from point samples

To evaluate how well species-environment models perform in different situations, modellers need the ability to generate virtual niches that have known properties. These virtual niches can then form the basis of virtual ecology experiments that can test how well different models perform under different conditions. virtualNicheR is an R package that is...