I'm assembling a moderately large spatial dataset as simple features in R (4.0.5).
Is there a good way to select the most performance-efficient output format/OGR driver to save my assembled data?
I'm interested in a general approach, but here are some particulars of my current case:
- The data consists of multiple vector types plus non-spatial columns.
- The spatial inputs include ESRI shapefiles, ESRI file geodatabases, and GeoJSON.
- My purpose in writing the data is to read back into R for analysis.
- My constraints are processing power and working memory, not disk space.
I'm looking for a general algorithm for selecting among the many available OGR formats.