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Parallel GeoPandas with Dask

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I just noticed that when the argument engine="pyarrow" is provided to `to_parquet()` the write still fails with the same error. ``` import pandas as pd import geopandas as gpd import...

Hi! I am trying to wrap my head around using `dtype` along with `dask-geopandas`. `dask.DataFrame` supports providing `dtype` by forwarding it to the underlying pandas call (see the [dask.DataFrame.read_csv](https://docs.dask.org/en/stable/generated/dask.dataframe.read_csv.html#dask.dataframe.read_csv) documentation)....

This may be the expected behavior? I discovered this issue because I thought that setting the partition size manually `ddf.repartition(partition_size="100MB")` to try and balance these partitions would also be reflected...

I have a question regarding the use case of xarray + geopandas VS xarray + dask-geopandas. I'm slightly confused if I need to leverage dask-geopandas if I already have xarray...

When creating a GeoDataFrame from a dask dataframe, we could pass through the `crs` keyword to the underlying geopandas.GeoDataFrame constructor: https://github.com/geopandas/dask-geopandas/blob/5b49377352658e15c34cb38a43b18fcc8f833ccb/dask_geopandas/core.py#L770-L783 That avoids that you need to do a `set_crs`...

I'm trying to load geometries from wkt.strings stored in a `dask.Dataframe` . I tried both in native `dask` and `dask_geopandas`, but the libraries seem not to be able to deal...

Super nice tool, thanks for this. I would like to know what is the best way to cite this repository?

We already preserve the spatial partitioning information (`spatial_partitions` attribute) in several places (eg when selecting a subset of the columns in `__getitem__`, in the `boundary` attribute, with a `_propagate_spatial_partitions` helper...

https://github.com/geopandas/dask-geopandas/pull/54 added a basic spatial join function. It's a naive cross product of all partitions of both left and right (if no spatial partitioning information is available) or all partition...

When you do something like `.area` on a geometry with 4326, geopandas raises a warning about that. However, in the dask-geopandas context, we get that warning for multiple times, but...