When merging a dask dataframe, the resulting index is duplicated - seems to be because of the number of partitions. See example below:

import pandas as pd
import dask.dataframe as dd

a = dd.from_pandas(pd.DataFrame({'a': [1,2,3,4]}), npartitions=2)
b = pd.DataFrame({'a': [1,2,3,4], 'b': [2,3,4,5]})

a.merge(b, on='a').compute()

Returns

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Description of the desired feature

Fix typos on distances.py and model_selection.py:

https://github.com/fatiando/verde/blob/8302ca390658d7212fd5c527feeae23365c58948/verde/distances.py#L18

https://github.com/fatiando/verde/blob/8302ca390658d7212fd5c527feeae23365c58948/verde/model_selection.py#L89

We need to make a better job of providing citation information for Fatiando components. The coolest thing I've seen so far is duecredit. We can annotate our code with references and the user can use duecredit to generate a full list of references (including external libraries).