diff --git a/README.rst b/README.rst
index c939505..93328a8 100755
--- a/README.rst
+++ b/README.rst
@@ -9,8 +9,8 @@ Kriging Toolkit for Python
.. image:: https://anaconda.org/conda-forge/pykrige/badges/version.svg
:target: https://github.com/conda-forge/pykrige-feedstock
-.. image:: https://readthedocs.org/projects/pykrige/badge/?version=latest
- :target: http://pykrige.readthedocs.io/en/latest/?badge=latest
+.. image:: https://readthedocs.org/projects/pykrige/badge/?version=stable
+ :target: http://pykrige.readthedocs.io/en/stable/?badge=stable
:alt: Documentation Status
.. image:: https://travis-ci.org/bsmurphy/PyKrige.svg?branch=master
@@ -31,7 +31,7 @@ point and all grid points. With the 'functional' drift capability, the user may
of the spatial coordinates that define the drift(s). The package includes a module that contains functions
that should be useful in working with ASCII grid files (`*.asc`).
-See the `documentation `_ for more details.
+See the documentation at `http://pykrige.readthedocs.io/en/stable/ `_ for more details.
Installation
^^^^^^^^^^^^
@@ -182,7 +182,7 @@ Kriging Parameters Tuning
A scikit-learn compatible API for parameter tuning by cross-validation is exposed in
`sklearn.model_selection.GridSearchCV `_.
-See the `Krige CV `_
+See the `Krige CV `_
example for a more practical illustration.
@@ -195,7 +195,7 @@ This class takes as parameters a scikit-learn regression model, and details of e
the ``OrdinaryKriging`` or the ``UniversalKriging`` class, and performs a correction steps on the ML regression prediction.
A demonstration of the regression kriging is provided in the
-`corresponding example `_.
+`corresponding example `_.
License
^^^^^^^