Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
Compute community-wide synchrony and its significance via Monte Carlo ...
coord2dist
correlated.matrix
Find min/max of a time series
Kendall's W
latlon2dist
Compute mean column-wise correlation and determine its significance vi...
Find the proportion of local minima/maxima common to both time series ...
Phase partnered time series
Phase synchrony of quasi-periodic time series
Plot synchrony objects
Plot vario objects
Plot variofit objects
Create surrogate time series via Markov process
Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
vario.fit
vario.func
vario
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.