# This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Library General Public # License as published by the Free Software Foundation; either # version 2 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Library General Public License for more details. # # You should have received a copy of the GNU Library General # Public License along with this library; if not, write to the # Free Foundation, Inc., 59 Temple Place, Suite 330, Boston, # MA 02111-1307 USA # Copyrights (C) # for this R-port: # 1999 - 2007, Diethelm Wuertz, GPL # Diethelm Wuertz # info@rmetrics.org # www.rmetrics.org # for the code accessed (or partly included) from other R-ports: # see R's copyright and license files # for the code accessed (or partly included) from contributed R-ports # and other sources # see Rmetrics's copyright file ################################################################################ # FUNCTION: GRID DATA: # gridData Generates a grid data set # persp.gridData Generates a perspective plot from a grid data object # contour.gridData Generates a contour plot from a grid data object ################################################################################ test.gridData = function() { # gridData Generates a grid data set # persp.gridData Generates a perspective plot from a grid data object # contour.gridData Generates a contour plot from a grid data object # Generate Grid Data: gD = gridData() # Perspective Plot: persp(gD) # Contour Plot: contour(gD) # Return Value: return() } # ------------------------------------------------------------------------------ test.gridDataPlot = function() { if (FALSE) { require(akima) # gridData Generates a grid data set # persp.gridData Generates a perspective plot from a grid data object # contour.gridData Generates a contour plot from a grid data object # Generate Akima interpolated Grid Data: RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion") set.seed(4711, kind = "Marsaglia-Multicarry") x = runif(999)-0.5 y = runif(999)-0.5 z = cos(2*pi*(x^2+y^2)) ans = akimaInterp(x, y, z, extrap = FALSE) persp(ans) title(main = "Akima Interpolation") contour(ans) title(main = "Akima Interpolation") # Generate Kriged Grid Data: require(spatial) RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion") set.seed(4711, kind = "Marsaglia-Multicarry") x = runif(999)-0.5 y = runif(999)-0.5 z = cos(2*pi*(x^2+y^2)) ans = krigeInterp(x, y, z, extrap = FALSE) persp(ans) title(main = "Kriging") contour(ans) title(main = "Kriging") } # Return Value: return() } ################################################################################