SpatialGridDataFrame.Rd
defines spatial grid by offset, cell size and dimensions
SpatialPixelsDataFrame(points, data, tolerance = sqrt(.Machine$double.eps),
proj4string = CRS(as.character(NA)), round = NULL, grid = NULL)
SpatialGridDataFrame(grid, data, proj4string = CRS(as.character(NA)))
coordinates, either as numeric matrix or as object of class SpatialPoints-class
grid topology; object of class GridTopology-class; for
calls to SpatialPixelsDataFrame
a value of NULL implies that this will
be derived from the point coordinates
data.frame; contains the attribute (actual grid) data
precision up to which extent points should be exactly on a grid
default NULL, otherwise a value passed to as the digits argument to round
for setting cell size
object of class CRS-class in the first
form only used when points
does not inherit from Spatial-class
SpatialPixelsDataFrame returns an object of class SpatialPixelsDataFrame-class; SpatialGridDataFrame returns an object of class SpatialGridDataFrame-class.
SpatialPixels stores grid topology and coordinates of the actual points, which may be in the form of a subset (set of pixels) of a full grid. To find out or change this, see fullgrid and SpatialGrid-class.
gridded, gridded<-, SpatialGrid, SpatialGrid-class
data(meuse.grid)
m = SpatialPixelsDataFrame(points = meuse.grid[c("x", "y")], data = meuse.grid)
class(m)
#> [1] "SpatialPixelsDataFrame"
#> attr(,"package")
#> [1] "sp"
summary(m)
#> Object of class SpatialPixelsDataFrame
#> Coordinates:
#> min max
#> x 178440 181560
#> y 329600 333760
#> Is projected: NA
#> proj4string : [NA]
#> Number of points: 3103
#> Grid attributes:
#> cellcentre.offset cellsize cells.dim
#> x 178460 40 78
#> y 329620 40 104
#> Data attributes:
#> x y part.a part.b
#> Min. :178460 Min. :329620 Min. :0.0000 Min. :0.0000
#> 1st Qu.:179420 1st Qu.:330460 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :179980 Median :331220 Median :0.0000 Median :1.0000
#> Mean :179985 Mean :331348 Mean :0.3986 Mean :0.6014
#> 3rd Qu.:180580 3rd Qu.:332140 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :181540 Max. :333740 Max. :1.0000 Max. :1.0000
#> dist soil ffreq
#> Min. :0.0000 1:1665 1: 779
#> 1st Qu.:0.1193 2:1084 2:1335
#> Median :0.2715 3: 354 3: 989
#> Mean :0.2971
#> 3rd Qu.:0.4402
#> Max. :0.9926