Create and handle spatial eigenvector maps of a set of locations a space with an arbitrary number of dimensions.
# S3 method for eigenmap
print(x, ...)# S3 method for eigenmap
plot(x, ...)
`eigenmap-class` objects contain:
A matrix of coordinates.
The interval within which pairs of sites are considered as neighbours.
A distance matrix.
The weighting function that had been used.
The weighting function parameter that had been used.
A vector of the eigenvalues obtain from the computation of the eigenvector map.
A matrix of the eigenvectors defining the eigenvector map.
an `eigenmap-class` object.
Further parameters to be passed to other functions or methods (currently ignored).
print(eigenmap): Print method for eigenmap-class objects
plot(eigenmap): Plot method for eigenmap-class objects
tools:::Rd_package_author("codep") Maintainer: tools:::Rd_package_maintainer("codep")
The `print` method provides the number of the number of orthonormal variables (i.e. basis functions), the number of observations these functions are spanning, and their associated eigenvalues.
The `plot` method provides a plot of the eigenvalues and offers the
possibility to plot the values of variables for 1- or 2-dimensional sets of
coordinates. plot.eigenmap opens the default graphical device driver,
i.e., X11, windows, or quartz and recurses through
variable with a left mouse click on the graphical window. A right mouse click
interrupts recursing on X11 and windows (Mac OS X users should
hit Esc on the quartz graphical device driver (Mac OS X users).
Borcard, D. and Legendre, P. 2002. All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecol. Model. 153: 51-68
Dray, S.; Legendre, P. and Peres-Neto, P. 2006. Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbor matrices (PCNM). Ecol. Modelling 196: 483-493
Legendre, P. and Legendre, L. 2012. Numerical Ecology, 3rd English edition. Elsevier Science B.V., Amsterdam, The Netherlands.
MCA
eigenmap