R: Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics

# Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics

## Documentation for package ‘synchrony’ version 0.3.8

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

synchrony-package | Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
bird.traits | bird trait dataset
community.sync | Compute community-wide synchrony and its significance via Monte Carlo randomizations
concordance | Kendall's W
coord2dist | coord2dist
correlated.matrix | correlated.matrix
find.minmax | Find min/max of a time series
kendall.w | Kendall's W
latlon2dist | latlon2dist
meancorr | Compute mean column-wise correlation and determine its significance via Monte Carlo randomizations
peaks | Find the proportion of local minima/maxima common to both time series and compute its significance via Monte Carlo randomizations
phase.partnered | Phase partnered time series
phase.sync | Phase synchrony of quasi-periodic time series
pisco.data | PISCO multi-year and spatially-explicit mussel and environmental dataset
plot.synchrony | Plot 'synchrony' objects
plot.vario | Plot 'vario' objects
plot.variofit | Plot 'variofit' objects
surrogate.ts | Create surrogate time series via Markov process
synchrony | Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
vario | vario
vario.fit | vario.fit
vario.func | vario.func