An R Package for generating covariance matrices for maximum-entropy sampling from precipitation chemistry data
Mathematical Software
2020-03-20 v2
Abstract
We present an open-source R package (MESgenCov v 0.1.0) for temporally fitting multivariate precipitation chemistry data and extracting a covariance matrix for use in the MESP (maximum-entropy sampling problem). We provide multiple functionalities for modeling and model assessment. The package is tightly coupled with NADP/NTN (National Atmospheric Deposition Program / National Trends Network) data from their set of 379 monitoring sites, 1978--present. The user specifies the sites, chemicals, and time period desired, fits an appropriate user-specified univariate model for each site and chemical selected, and the package produces a covariance matrix for use by MESP algorithms.
Cite
@article{arxiv.2003.06316,
title = {An R Package for generating covariance matrices for maximum-entropy sampling from precipitation chemistry data},
author = {Hessa Al-Thani and Jon Lee},
journal= {arXiv preprint arXiv:2003.06316},
year = {2020}
}