powered by
class for defining a pixels, forming a possibly incomplete rectangular grid of arbitrary dimension
Objects are created by using e.g.
SpatialPixels(points)
with points of class SpatialPoints-class
grid
object of class GridTopology-class, defining the grid topology (offset, cellsize, dim)
grid.index
integer; index of points in full grid
coords
coordinates of points, or bbox of grid
bbox
Object of class "matrix"; bounding box
"matrix"
proj4string
Object of class "CRS"; projection
"CRS"
Class "SpatialPoints" directly; Class "Spatial", by class "SpatialPoints".
"SpatialPoints"
"Spatial"
signature(x = "SpatialPixels"): calculates coordinates for each point on the grid; coordinates are not stored in objects of class SpatialGrid
signature(x = "SpatialPixels")
signature(object = "SpatialPixels"): summarize object
signature(object = "SpatialPixels")
signature(x = "SpatialPixels"): plots cell centers
signature(x = "SpatialPixels"): select pixel cells; the argument drop=FALSE (default) does not recalculate grid topology for the selection, if drop=TRUE the grid topology is recomputed, and might change.
drop=FALSE
drop=TRUE
signature(x = "SpatialPixels"): rbind-like method
SpatialPixelsDataFrame-class, SpatialGrid-class
SpatialPixelsDataFrame-class
SpatialGrid-class
data(meuse.grid) pts = meuse.grid[c("x", "y")] y = SpatialPixels(SpatialPoints(pts)) class(y) y summary(y) plot(y) # plots grid plot(y, grid = FALSE) # plots points
Run the code above in your browser using DataLab