As I said in my last post, rgdal lacks some of the features of GDAL, including the ability to subset columns and rows the source layer, and I demonstrated a workaround. The workaround relied upon the RPostgreSQL package, and this raises a question: Is it possible to transfer geographic data from PostGIS to R just using RPostgreSQL?
It is, and in fact, this may be necessary if you are working on Windows. Continue reading Load PostGIS geometries in R without rgdal
The function readOGR in the rgdal package is used to bring vector spatial data sources into R. readOGR() relies upon OGR (part of the GDAL/OGR library) for format conversion. Unfortunately, while OGR supports the ability to subset columns (with the -select switch) or rows (with the -where switch), or even to request a layer using a full SQL statement, none of that functionality is available in readOGR. Every so often this gets discussed in the mailing lists, but the functionality has not yet been implemented.
If your data is already in a SQL database though, you’re in luck. You can accomplish the same thing within R by creating a spatial view in-database, loading the spatial view with readOGR, then dropping the view. I’ve created a function that does just that for PostGIS data sources. Continue reading Subsetting in readOGR
