Spatial Analysis of Field Trials Experiments using Geostatistics and Spatial Autoregressive Model

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.


Reference manual

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0.99.2 by Lucas Roberto de Castro, a year ago

Browse source code at

Authors: Lucas Roberto de Castro , Renato Ribeiro de Lima , Diogo Francisco Rossoni , Cristina Henriques Nogueira

Documentation:   PDF Manual  

GPL-3 license

Imports MASS, Matrix, ScottKnott, car, gtools, multcomp, multcompView, mvtnorm, DT, shinyBS, xtable, shinythemes, rmarkdown, knitr, spdep, ape, spatialreg, shinycssloaders

Depends on stats, utils, graphics, geoR, shiny

See at CRAN