R Statistical Data (RData) Array as Raster Reader/Writer

Licensing options for this format begin with FME Professional Edition.

The R Statistical Data (RData) Array as Raster Reader/Writer allows FME to read and write data in the R Statistical Data format as rasters.

Overview

R is a language and environment for statistical computing and graphics. R files store data as binary or ASCII workspace files that may store a number of objects.

The reader/writer only works with R files that contain a numeric vector object. The numeric vector will be mapped to raster geometry as follows:

  • the first dimension corresponds to the number of columns
  • the second dimension corresponds to the number of rows
  • the third dimension corresponds to the number of bands

Georeferencing is stored in numeric vector attributes named "lon" and "lat" (for geographic coordinate systems) or "x" and "y" (for projected coordinate systems) that are defined for the raster object. The dimensions of these attributes must correspond to the number of columns and rows in the raster, respectively.

Reader Overview

FME considers a single R file to be a dataset. A single numeric vector object in a file will be mapped to an FME raster feature.

Writer Overview

FME considers a dataset to be a folder name. The writer distinguishes duplicate output files by appending numbers to the filenames.

FME Raster Features

FME raster features represent raster data and use several concepts that are unlike those used in the handling of vector data. The topics below describe how FME processes raster data.

About FME Rasters Tiling and Mosaicking
Raster Properties Band Combining and Separating
Band Properties Band and Palette Selection
Palette Properties Raster Processing
Compression Raster versus Vector Features
Pyramiding Raster File Naming
Interleaving World Files
Interpretation and Data Type TAB Files
Palette Resolution  

R supports rasters with an arbitrary number of Real64 bands.