Krzysztof Dyba
Krzysztof Dyba
I also encountered this problem (but I wanted to download Landsat data from Earth Search). ```r library("rstac") stac("https://earth-search.aws.element84.com/v1") |> stac_search(collections = "landsat-c2-l2", limit = 1) |> post_request() |> assets_download(asset_names =...
I did some more tests and this issue requires deeper analysis, because in some cases, it seems that the GDAL algorithm is faster. See this example below. R code ```r...
Sure! I will try to add the tasks you suggested. If you have more ideas for tasks, let me know.
Maybe we should report this in the GEOS repository? `sf` uses a base function from R, i.e. `dist()`, but this is not the fastest way. Even better results are provided...
`by_element` is FALSE, so this path: https://github.com/r-spatial/sf/blob/32aa6c8c53005245493540b1359bc35fe50f0115/R/geom-measures.R#L207-L208
After the workshop in Prague, you will be specialist in R and Julia 😄
Yeah, I think the main advantage will be that the user will be able to see the exact equivalent of the function from sf and terra.
It will be implemented in the upcoming `(geopandas)` 1.0.0.
Thanks, great idea! I will be happy to add this as several people have asked to include Julia in benchmarks. I don't know Julia personally, but I think I will...
BTW: Have you seen this year's edition of [Spatial Data Science across Languages](https://github.com/spatial-data-science/2024) organized by Martin in Prague? Maybe you will be interested as Julia programmers.