8 gagnapakkar fundust

Python code (with associated data and figures) in support of the paper: Etherington TR (in review) Building sets of continuous and ordinal neutral landscape models matching...

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...

Python code and example data to demonstrate how to extract geometric properties of rat footprints from tracking cards as a basis of creating species identification models....

Python code used to process data in the production of A History of Open Temperature and Rainfall with Uncertainty in New Zealand (HOTRUNZ): an open access 1 km resolution...

Code and data in support of the paper: Etherington TR, O’Sullivan D, Perry GLW, Richards DR, Wainwright J (2024) A least-cost network neutral landscape model of human sites and...

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

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...

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...