Add more description

Author: seisman

doc/ecosystem.md

@@ -6,45 +6,82 @@
 
 #### NumPy
 
+[NumPy][] is the fundamental package for scientific computing in Python. It is a Python
+library that provides a multidimensional array object, various derived objects (such as
+masked arrays and matrices), and an assortment of routines for fast operations on arrays,
+including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete
+Fourier transforms, basic linear algebra, basic statistical operations, random simulation
+and much more.
+
 #### Pandas
 
-#### Xarray
+[pandas][] is a Python package providing fast, flexible, and expressive data structures
+designed to make working with "relational" or "labeled" data both easy and intuitive.
+It aims to be the fundamental high-level building block for doing practical, real-world
+data analysis in Python. Additionally, it has the broader goal of becoming the most
+powerful and flexible open source data analysis/manipulation tool available in any
+language. It is already well on its way toward this goal.
 
-#### packaging
+#### Xarray
 
-#### netCDF4
+[Xarray][] is an open source project and Python package that introduces labels in the
+form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which
+allows for more intuitive, more concise, and less error-prone user experience.
 
 ### Optional dependencies
 
 #### IPython
 
 #### GeoPandas
 
-[GeoPandas](https://geopandas.org/) is an open source project to make working with
-geospatial data in Python easier. GeoPandas extends the datatypes used by
-[pandas](https://pandas.pydata.org/) to allow spatial operations on geometric types.
-Geometric operations are performed by [shapely](https://shapely.readthedocs.io/).
-Geopandas further depends on [pyogrio](https://pyogrio.readthedocs.io/en/) for file
-access and [matplotlib](https://matplotlib.org/) for plotting.
+[geopandas][] is an open source project to make working with geospatial data in Python
+easier. GeoPandas extends the datatypes used by [pandas][] to allow spatial operations
+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.
 
 #### Contextily
 
-[contextily](https://contextily.readthedocs.io/) is a small Python package to retrieve
-tile maps from the internet. It can add those tiles as basemap to matplotlib figures or
-write tile maps to disk into geospatial raster files. Bounding boxes can be passed in
-both WGS84 (EPSG:4326) and Spheric Mercator (EPSG:3857).
+[contextily][] is a small Python package to retrieve tile maps from the internet. It can
+add those tiles as basemap to matplotlib figures or write tile maps to disk into
+geospatial raster files. Bounding boxes can be passed in both WGS84 (EPSG:4326) and
+Spheric Mercator (EPSG:3857).
 
 In PyGMT, {func}`pygmt.datasets.load_tile_map` and {class}`pygmt.Figure.tilemap` rely
 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).
+
+Currently, PyGMT relies on [rioxarray][] to to saving multi-band rasters to temporary files
+in GeoTIFF format, to support processing and plotting 3-D :class:`xarray.DataArray`
+images.
+
+```{note}
+We're working towards removing the dependency of the [rioxarray][] package in
+[PR #3468](https://github.com/GenericMappingTools/pygmt/pull/3468).
+```
+
 #### PyArrow
 
 ## PyGMT ecosystem
 
 *This page was adapted from [GeoPandas's Ecosystem](https://geopandas.org/en/latest/community/ecosystem.html) page.*
+
+
+[contextily]: https://contextily.readthedocs.io/
+[geopandas]: https://geopandas.org/
+[matplotlib]: https://matplotlib.org/
+[pandas]: https://pandas.pydata.org/
+[pyarrow]: https://arrow.apache.org/docs/python/
+[pyogrio]: https://pyogrio.readthedocs.io/
+[rioxarray]: https://corteva.github.io/rioxarray/
+[shapely]: https://shapely.readthedocs.io/
+[xarray]: https://xarray.pydata.org/