The attached workspace shows an example use of the Rasterizer transformer. The Rasterizer has now been split into two transformers with slightly different functions, ImageRasterizer & NumericRasterizer NB: For privacy/copyright reasons the source data isn’t attached In this example, an Ordnance Survey NTF vector dataset is turned into a GeoTIFF raster dataset. Available settings are the grid size of the raster and the background colour. In this case the grid is 1000 x 1000 so, for a 1000m square dataset, it gives a 1m resolution. The background colour is a medium grey. The original vector features were assigned a white colour (fme_color=1,1,1). Above: an ImageRasterizer transformer was used to convert an Ordnance Survey vector dataset (left) into a GeoTIFF raster dataset (right). This scenario shows how a DWG file with multiple layers can be transformed into a raster with the ImageRasterizer transformer. The source DWG file consists of the following layers: After that, the result is sent to the ImageRasterizer and then to a raster writer, in our case, GeoTIFF. In some cases, multiple ImageRasterizers may be used if different rasterization parameters are required. For example, anti-aliasing is good for contours, but not very good for rectangular tile boundaries – it’s the case where we should use two rasterizers for a contour file with a frame. When more than one ImageRasterizer is used, a RasterMosaicker is also required to bring all the rasters into one. RasterizationOne.fmwt shows how to use one ImageRasterizer for multiple layers. It’s well commented, use it as a main example. RasterizationMany.fmwt shows multiple ImageRasterizers and RasterMosaicker, which combines all the rasters together. Advanced cell color manipulation with RasterCellValueReplacer and RasterExpressionEvaluator , dealing with color no data values Source.