sulfate

Sulfate atmospheric deposition in the conterminous USA.

datasets

Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.

Michael Dumelle

spmodel

Spatial Statistical Modeling and Prediction

Matt Higham

Ryan A. Hill

Michael Mahon

Jay M. Ver Hoef

sulfate function

An <code>sf</code> object with 197 rows and 2 columns.<ul>
<li>sulfate: Total wet deposition sulfate in kilograms per hectare.</li>
<li>geometry: <code>POINT</code> geometry representing coordinates in a
Conus Albers projection (EPSG: 5070). Distances between points are in meters.</li>
</ul>

Format

Sulfate atmospheric deposition in the conterminous USA — sulfate

Sulfate atmospheric deposition in the conterminous USA

sulfate: Sulfate atmospheric deposition in the conterminous USA

Description

Usage

Arguments

Format

References