Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics

Methods for computing spatial, temporal, and spatiotemporal statistics as described in Gouhier and Guichard (2014) . These methods include empirical univariate, bivariate and multivariate variograms; fitting variogram models; phase locking and synchrony analysis; generating autocorrelated and cross-correlated matrices.

synchrony R package

Download and Install

To download the development version of the package, type the following at the R command line:

install.packages("devtools")
devtools::install_github("tgouhier/synchrony")

To download the release version of the package on CRAN, type the following at the R command line:

install.packages("synchrony")

About synchrony

The synchrony package contains methods for computing spatial, temporal, and spatiotemporal statistics such as:

• empirical univariate, bivariate and multivariate variograms
• fitting variogram models
• phase locking and synchrony analysis
• generating autocorrelated and cross-correlated matrices

The package is fully described in Gouhier and Guichard (2014).

References

Gouhier, T. C., and F. Guichard. 2014. Synchrony: quantifying variability in space and time. Methods in Ecology and Evolution 5:524–533.