SpatialPixelsDataFrame-class

0th

Percentile

Class "SpatialPixelsDataFrame"

Class for spatial attributes that have spatial locations on a regular grid.

Keywords
classes
Objects from the Class

Objects can be created by calls of the form as(x, "SpatialPixelsDataFrame"), where x is of class SpatialPointsDataFrame-class, or by importing through rgdal. Ordered full grids are stored instead or unordered non-NA cells;

Extends

Class "SpatialPixels", directly. Class "Spatial", by class "SpatialPixels".

See Also

SpatialPixels-class, which does not contain the attribute data

Aliases
  • SpatialPixelsDataFrame-class
  • [,SpatialPixelsDataFrame-method
  • show,SpatialPixelsDataFrame-method
  • plot.SpatialPixelsDataFrame
  • print.summary.SpatialPixelsDataFrame
  • coerce,SpatialPixelsDataFrame,SpatialPointsDataFrame-method
  • coerce,SpatialPixelsDataFrame,SpatialGridDataFrame-method
  • coerce,SpatialPixelsDataFrame,SpatialPolygonsDataFrame-method
  • coerce,SpatialPixelsDataFrame,data.frame-method
  • coerce,SpatialPixelsDataFrame,matrix-method
  • as.data.frame.SpatialPixelsDataFrame
  • rbind.SpatialPixelsDataFrame
  • dim.SpatialPixelsDataFrame
Examples
data(meuse.grid) # only the non-missing valued cells
coordinates(meuse.grid) = c("x", "y") # promote to SpatialPointsDataFrame
gridded(meuse.grid) <- TRUE # promote to SpatialPixelsDataFrame
meuse.grid[["idist"]] = 1 - meuse.grid[["dist"]] # assigns new attribute
image(meuse.grid["idist"]) # note the single [

# toy example:
df = data.frame(z = c(1:6,NA,8,9),
    xc = c(1,1,1,2,2,2,3,3,3),
    yc = c(rep(c(0, 1.5, 3),3)))
coordinates(df) = ~xc+yc
gridded(df) = TRUE
image(df["z"])
# draw labels to verify:
cc = coordinates(df)
z=df[["z"]]
zc=as.character(z)
zc[is.na(zc)]="NA"
text(cc[,1],cc[,2],zc)
Documentation reproduced from package sp, version 0.9-94, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.