Description
Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics.
Description
Methods for computing spatial, temporal, and spatiotemporal statistics as described in Gouhier and Guichard (2014) <doi:10.1111/2041-210X.12188>. These methods include empirical univariate, bivariate and multivariate variograms; fitting variogram models; phase locking and synchrony analysis; generating autocorrelated and cross-correlated matrices.
README.md
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.