Create a matrix or data.frame to a valid dataset of class sss for spatial smoothing splines. Those dataset can be used later by functions s2D for tensor product (natural) cubic splines or p-splines, and scp for estimating spatial smoothing splines models.
as.sss(X, coords, coords.col, data.col, ...)
create.sss(coords, data, ...)
is.sss(x)
sss2df(x)a matrix or data-frame. Every row must correspond to a point location in a two-dimensional space (coordinates). Coordinates columns can be included in X or defined separately using the argument coords. Some columns can also correspond to variables measured at the different point locations.
two-columns numeric matrix of coordinates (optional).
a data-frame containing the variables measured at the locations given by coords.
numeric vector. The number of columns in X that contains the coordinates.
numeric vector. The number of columns in X that contains variables measured at the points locations.
slots elements to create a new sss dataset. Required slots are data, coords, grid, knots, W, contract (to be discarded in the future), and regular. See Value for an explanation about each slot requirements.
an object to check validity as member of class sss.
a data-frame containing the variables measured at the locations given by coords.
a matrix containing the two columns of observed coordinates for the data.
a grid matrix containing the two columns of coordinates.
a named list with the design points (knots) in every coordinate. Equivalent to a grid.list object.
a spatial incidence matrix. If contract=TRUE it is \(W_{ij}\), otherwise \(W_{ji}\).
logical. The same value as the argument contract.
logical. If the coordinates are observed at regular points it is TRUE, FALSE otherwise (missing coordinates in any direction).