Minor fixes

Author: seisman

doc/ecosystem.md

@@ -57,9 +57,9 @@ easier. GeoPandas extends the datatypes used by [pandas][] to allow spatial oper
 on geometric types. Geometric operations are performed by [Shapely][]. GeoPandas further
 depends on [pyogrio][] for file access and [Matplotlib][] for plotting.
 
-PyGMT doesn't directly rely on GeoPandas, but provides support of GeoPandas's data
-structure, {class}`geopandas.GeoDataFrame` and {class}`geopandas.GeoSeries`, which can
-be directly used in data processing and plotting functions/methods of PyGMT.
+PyGMT doesn't directly rely on GeoPandas, but provides support of GeoPandas's two main
+data structure, {class}`geopandas.GeoDataFrame` and {class}`geopandas.GeoSeries`, which
+can be directly used in data processing and plotting functions/methods of PyGMT.
 
 #### contextily
 
@@ -73,10 +73,10 @@ on it.
 
 #### rioxarray
 
-[rioxarray][] is a geospatial [Xarray][] extension powered by rasterio. Built on top of
-[Rasterio][], it enables seamless reading, writing, and manipulation of multi-dimensional
-arrays with geospatial attributes such as coordinate reference systems (CRS) and spatial extent
-(bounds).
+[rioxarray][] is a geospatial [Xarray][] extension powered by [rasterio][]. Built on top
+of rasterio, it enables seamless reading, writing, and manipulation of multi-dimensional
+arrays with geospatial attributes such as coordinate reference systems (CRS) and spatial
+extent (bounds).
 
 Currently, PyGMT relies on [rioxarray][] to save multi-band rasters to temporary files
 in GeoTIFF format, to support processing and plotting 3-D {class}`xarray.DataArray`
@@ -97,19 +97,19 @@ organized for efficient analytic operations on modern hardware. The Arrow Python
 Python objects. They are based on the C++ implementation of Arrow.
 
 ```{note}
-If you have [PyArrow](https://arrow.apache.org/docs/python/index.html) installed, PyGMT
-does have some initial support for `pandas.Series` and `pandas.DataFrame` objects with
-Apache Arrow-backed arrays. Specifically, only uint/int/float, date32/date64 and string
-types are supported for now. Support for Duration types and GeoArrow geometry types is
-still a work in progress. For more details, see
+If you have [PyArrow][] installed, PyGMT does have some initial support for
+`pandas.Series` and `pandas.DataFrame` objects with Apache Arrow-backed arrays.
+Specifically, only uint/int/float, date32/date64 and string types are supported for now.
+Support for Duration types and GeoArrow geometry types is still a work in progress.
+For more details, see
 [issue #2800](https://github.com/GenericMappingTools/pygmt/issues/2800).
 ```
 
 ## PyGMT ecosystem
 
 Various packages rely on PyGMT for geospatial data processing, analysis, and visualization.
 Below is an incomplete list (in no particular order) of tools which form the PyGMT-related
-Python ecosystem.
+ecosystem.
 
 ```{note}
 If your package relies on PyGMT, please
@@ -126,6 +126,7 @@ If your package relies on PyGMT, please
 [pandas]: https://pandas.pydata.org/
 [pyarrow]: https://arrow.apache.org/docs/python/
 [pyogrio]: https://pyogrio.readthedocs.io/
+[rasterio]: https://rasterio.readthedocs.io/
 [rioxarray]: https://corteva.github.io/rioxarray/
 [shapely]: https://shapely.readthedocs.io/
 [xarray]: https://xarray.pydata.org/