The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
-
Updated
Oct 31, 2024 - R
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
🌍 📝 Modelling and forecasting deforestation in the tropics
Sub-package of spatstat containing functionality for parametric modelling and inference
This repository contains code to perform the wildlife density modelling approach outlined in Houldcroft et al. (2024).
Add a description, image, and links to the spatial-modelling topic page so that developers can more easily learn about it.
To associate your repository with the spatial-modelling topic, visit your repo's landing page and select "manage topics."