points_to_raster: Bin spatial points to a raster
In mtennekes/oldtmaptools: Old Thematic Map Tools

Description Usage Arguments Details Value See Also Examples

Bin spatial points to a raster. For each raster cell, the number of points are counted. Optionally, a factor variable can be specified by which the points are counts are split. Note that this function supports sf objects, but still uses sp-based methods (see details).

1 2	points_to_raster(shp, nrow = NA, ncol = NA, N = 250000, by = NULL, to.Raster = NULL)

`shp`	shape object. a `SpatialPoints(DataFrame)`, a `SpatialGrid(DataFrame)`, or an `sf` object that can be coerced as such.
`nrow`	number of raster rows. If `NA`, it is automatically determined by `N` and the aspect ratio of `shp`.
`ncol`	number of raster columns. If `NA`, it is automatically determined by `N` and the aspect ratio of `shp`.
`N`	preferred number of raster cells.
`by`	name of a data variable which should be a factor. The points are split and counted according to the levels of this factor.
`to.Raster`	not used anymore, since the output is always a `raster` as of version 2.0

This function is a wrapper around rasterize.

This function supports sf objects, but still uses sp-based methods, from the packages sp, rgeos, and/or rgdal.

a RasterBrick is returned when by is specified, and a RasterLayer when by is unspecified.

poly_to_raster

## Not run: 
if (require(tmap)) {
    data(NLD_muni, NLD_prov)

    # sample points (each point represents 1000 people)
    NLD_muni_points <- sample_dots(NLD_muni, vars = "population",
        w=1000, convert2density = TRUE)

    # dot map
    tm_shape(NLD_muni_points) + tm_dots()

    # convert points to raster
    NLD_rst <- points_to_raster(NLD_muni_points, N = 1e4)

    # plot raster
    tm_shape(NLD_rst) +
    	tm_raster() +
    tm_shape(NLD_prov) +
    	tm_borders() +
    tm_format("NLD") + tm_style("grey")
}

## End(Not run)