GitHub - blasif/j.environ.2024: Code for reproducing the results of the paper "A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling"

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
renv		renv
00_system.R		00_system.R
01_preprocessing.R		01_preprocessing.R
02_a_App_Dense_gridsearch.R		02_a_App_Dense_gridsearch.R
02_b_App_Dense.R		02_b_App_Dense.R
03_a_App_Sparse_gridsearch.R		03_a_App_Sparse_gridsearch.R
03_b_App_Sparse.R		03_b_App_Sparse.R
04_Figures.R		04_Figures.R
Download Illustration dataset.txt		Download Illustration dataset.txt
README.txt		README.txt
Run_files.R		Run_files.R
j.environ.2024.Rproj		j.environ.2024.Rproj
renv.lock		renv.lock

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j.environ.2024.
R-code of the manuscript "A class of modular and flexible covariate-based covariance
functions for nonstationary spatial modeling",
The R-code was developed and ran using the following software:
R-version: 4.3.1
MacOS: Sequoia 15.5.0

steps to build and run the files:

1. git clone https://github.com/blasif/j.environ.2024
2. read 'Download Illustration dataset.txt'
3. Run 'Run_files.R'

About

Code for reproducing the results of the paper "A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling"

gaussian-processes covariance-functions anisotropy nonstationary heteroscedasticity gaussian-random-field

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