Analysis of Field Trials with Geostatistics & Spatial AR Models

Perform analysis of variance when the experimental units are spatially correlated. There are two methods to deal with spatial dependence: Spatial autoregressive models (see Rossoni, D. F., & Lima, R. R. (2019) ) and geostatistics (see Pontes, J. M., & Oliveira, M. S. D. (2004) ). For both methods, there are three multicomparison procedure available: Tukey, multivariate T, and Scott-Knott.

spANOVA

An R package to perform analysis of experiments with spatial dependence

Installation

The package is now available on CRAN, however for the latest version you can use the devtools package to install it from github directly:

devtools::install_github('lrcastro/spANOVA')