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@@ -25,7 +25,7 @@ In that, `geospark` R package aims at bringing local [sf](https://github.com/r-s
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Currently, `geospark` support the most of important `sf` functions in spark,
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here is a [summary
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comparison](https://github.com/harryprince/geospark/blob/master/Reference.md). And the `geospark` R package is keeping close with geospatial and big data community, which powered by [sparklyr](https://spark.rstudio.com), [sf](https://github.com/r-spatial/sf), [dplyr](https://db.rstudio.com/dplyr/) and [dbplyr](https://github.com/tidyverse/dbplyr).
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comparison](https://github.com/harryprince/geospark/wiki/SF-Migration-Guide). And the `geospark` R package is keeping close with geospatial and big data community, which powered by [sparklyr](https://spark.rstudio.com), [sf](https://github.com/r-spatial/sf), [dplyr](https://db.rstudio.com/dplyr/) and [dbplyr](https://github.com/tidyverse/dbplyr).
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## Installation
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