plotKML: vect2rast.SpatialPoints – R documentation

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vect2rast.SpatialPoints

Converts points to rasters

Description

Converts object of class "SpatialPoints*" to a raster map, and (optional) writes it to an external file (GDAL-supported formats; it used the SAGA GIS format by default).

Usage

vect2rast.SpatialPoints(obj, fname = names(obj)[1], cell.size, bbox, 
      file.name, silent = FALSE, method = c("raster", "SAGA")[1], FIELD = 0, 
      MULTIPLE = 1, LINE_TYPE = 0, GRID_TYPE = 2, ... )

Arguments

`obj`	`"SpatialPoints*"` object
`fname`	target variable name in the `"data"` slot
`cell.size`	(optional) grid cell size in the output raster map
`bbox`	(optional) output bounding box (class `"bbox"`) for cropping the data
`file.name`	(optional) file name to export the resulting raster map
`silent`	logical; specifies whether to print any output of processing
`method`	character; specifies the gridding method
`FIELD`	character; SAGA GIS argument attribute table field number
`MULTIPLE`	character; SAGA GIS argument method for multiple values — [0] first, [1] last, [2] minimum, [3] maximum, [4] mean
`LINE_TYPE`	character; SAGA GIS argument method for rasterization — [0] thin, [1] thick
`GRID_TYPE`	character; SAGA GIS argument for coding type — [0] integer (1 byte), [1] integer (2 byte), [2] integer (4 byte), [3] floating point (4 byte), [4] floating point (8 byte)
`...`	additional arguments that can be passed to the `raster::rasterize` command

Value

Returns an object of type "SpatialGridDataFrame".

Author(s)

Tomislav Hengl

Examples

## Not run: 
library(sp)
data(meuse)
coordinates(meuse) <- ~x+y
# point map:
x <- vect2rast(meuse, fname = "om")
data(SAGA_pal)
sp.p <- list("sp.points", meuse, pch="+", cex=1.5, col="black")
spplot(x, col.regions=SAGA_pal[[1]], sp.layout=sp.p)

## End(Not run)

plotKML

Visualization of Spatial and Spatio-Temporal Objects in Google Earth

v0.8-1

GPL

Authors

Tomislav Hengl [cre, aut], Andrea Gilardi [ctb], Pierre Roudier [ctb], Dylan Beaudette [ctb], Edzer Pebesma [ctb], Michael Blaschek [ctb]

Initial release

2021-04-12