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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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 9 Commits
renv		renv
00_system.R		00_system.R
02_IC_Simulation.R		02_IC_Simulation.R
03_LRT_Simulation.R		03_LRT_Simulation.R
04_a_preprocessing.R		04_a_preprocessing.R
04_b_App_Dense.R		04_b_App_Dense.R
04_b_App_Sparse.R		04_b_App_Sparse.R
05_Figures.R		05_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: Sonoma 14.3.0

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'

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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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