ble in the Spark native interfaces primarily; so there is no need to
> figure out the API / way to set it up and / or resolve peculiar
> dependencies. Could be a step towards Spark GIS types standardization.
>
> Best,
>
> Grigory
>
> On Mon, Jan 16, 2023 at 6:21 PM Mo S
Martin, thanks for chiming in and mentioning Apache SIS. However, Mark was
asking about Geo in Spark, which Sedona already supports.
Yet, I like the idea of making all dependencies within the Apache family. I
believe a good solution would be for you (or the SIS community at large) to
include
Mark,
There is already another Apache project (namely Apache Sedona) that provides
comprehensive support of geospatial operations in Spark. Please check it out:
Github: https://github.com/apache/sedona
Website: https://sedona.apache.org
Please feel free to contribute more geospatial functions
