From abb4444178807a8989fc13d4e34502abe1cdbdeb Mon Sep 17 00:00:00 2001
From: Katelyn FitzGerald <7872563+kafitzgerald@users.noreply.github.com>
Date: Tue, 19 Nov 2024 15:18:19 -0700
Subject: [PATCH] Update eofs links and descriptions (#661)

* update eofs links and description in stats.py

* update release-notes.rst
---
 docs/release-notes.rst |  1 +
 geocat/comp/stats.py   | 17 +++++++++--------
 2 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/docs/release-notes.rst b/docs/release-notes.rst
index d0bd4eb09..d2b20a59c 100644
--- a/docs/release-notes.rst
+++ b/docs/release-notes.rst
@@ -15,6 +15,7 @@ This release...
 Documentation
 ^^^^^^^^^^^^^
 * Fix to documentation theme configuration by `Katelyn FitzGerald`_ in (:pr:`657`)
+* Update links to eofs documentation by `Katelyn FitzGerald`_ in (:pr:`661`)
 
 Internal Changes
 ^^^^^^^^^^^^^^^^
diff --git a/geocat/comp/stats.py b/geocat/comp/stats.py
index 889bc06de..2cd24ba22 100644
--- a/geocat/comp/stats.py
+++ b/geocat/comp/stats.py
@@ -121,11 +121,11 @@ def eofunc_eofs(data,
     2. EOFs are computed only from covariance matrix and there is no support for computation from correlation matrix,
     3. percentage of non-missing points that must exist at any single point is no longer an input.
 
-    This implementation uses the `eofs package <https://anaconda.org/conda-forge/eofs>`__,
-    which is built upon the following study: Dawson, Andrew, "eofs: A library
+    This implementation uses the `eofs package <https://github.com/ajdawson/eofs>`__,
+    documented in the following paper: Dawson, Andrew, "eofs: A library
     for EOF analysis of meteorological, oceanographic, and climate data,"
-    Journal of Open Research Software, vol. 4, no. 1, 2016. Further information about this
-    package can be found `here <https://ajdawson.github.io/eofs/latest/index.html>`__.
+    Journal of Open Research Software, vol. 4, no. 1, 2016. Further information can be
+    found in the `eofs documentation <https://ajdawson.github.io/eofs/>`__.
 
     This implementation provides a few conveniences to the user on top of
     ``eofs`` package that are described below.
@@ -286,10 +286,11 @@ def eofunc_pcs(data,
     2. EOFs are computed only from covariance matrix and there is no support for computation from correlation matrix,
     3. percentage of non-missing points that must exist at any single point is no longer an input.
 
-    This implementation uses `eofs package <https://anaconda.org/conda-forge/eofs>`__, which is built upon the
-    following study: Dawson, Andrew, "eofs: A library for EOF analysis of meteorological, oceanographic, and
-    climate data," Journal of Open Research Software, vol. 4, no. 1, 2016. Further information about this
-    package can be found `here <https://ajdawson.github.io/eofs/latest/index.html>`__.
+    This implementation uses the `eofs package <https://github.com/ajdawson/eofs>`__,
+    documented in the following paper: Dawson, Andrew, "eofs: A library
+    for EOF analysis of meteorological, oceanographic, and climate data,"
+    Journal of Open Research Software, vol. 4, no. 1, 2016. Further information can be
+    found in the `eofs documentation <https://ajdawson.github.io/eofs/>`__.
 
     This implementation provides a few conveniences to the user on top of ``eofs`` package that are described below
     in the Parameters section.