In recent years, multivariate spatial models have been proven to be an effective tool for analyzing spatially related multidimensional data arising from a common underlying spatial process. The ...
Spatial weed count data are modeled and predicted using a generalized linear mixed model combined with a Bayesian approach and Markov chain Monte Carlo. Informative priors for a data set with sparse ...
Our news journalists obtained a quote from the research from the University of Central Florida, "However, this may not reveal useful information to detect the road problems and implement effective ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback