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This repository has been archived by the owner on Nov 10, 2021. It is now read-only.
For example, what would be the most efficient way to upload the R object returned from read_sf() to its equivalent in Spark, while making sure such equivalent Spark representation also makes sense for the rest of Apache Sedona? This will be something interesting for us to think about.
The text was updated successfully, but these errors were encountered:
https://r-spatial.github.io/sf/index.html
For example, what would be the most efficient way to upload the R object returned from
read_sf()
to its equivalent in Spark, while making sure such equivalent Spark representation also makes sense for the rest of Apache Sedona? This will be something interesting for us to think about.The text was updated successfully, but these errors were encountered: