diff --git a/docs/install.rst b/docs/install.rst
index e828bac88..2559d139a 100644
--- a/docs/install.rst
+++ b/docs/install.rst
@@ -1,66 +1,36 @@
 Installation
 ============
 
-GeoCAT-examples is a collection of standalone visualization examples, and it is not distributed
-as a conda package; thus, there is no installation for it (via conda or other package management systems).
-The easiest way to access GeoCAT-examples scripts as a whole is by cloning the repo and then configuring
-`Conda <http://conda.pydata.org/docs/>`_ environment to run them in.
+GeoCAT-examples is a collection of standalone visualization examples (not distributed
+as a package on PyPI or conda-forge).
 
-This guide includes only the instructions to run GeoCAT-examples scripts locally. For information about installing the
-entire GeoCAT project, see our
-`Contributor's Guide <(https://geocat.ucar.edu/pages/contributing.html)>`_.
+The easiest way to run multiple GeoCAT-examples scripts is to clone the GeoCAT-examples
+repository. Then configure a `Conda <http://conda.pydata.org/docs/>`_ environment to run them in
+as described below in `Creating a Conda environment`_.
+
+To run individual GeoCAT-examples, you can also download the examples as scripts or Jupyter
+notebooks by clicking the download buttons at the bottom of each example in the gallery. To set up
+an environment in which to run the examples either ensure you have the packages mentioned
+in the import packages section at the top of the script installed or install the full GeoCAT-examples
+environment as described in `Creating a Conda environment`_.
 
 Creating a Conda environment
 ----------------------------
 
-This repository provides a Conda environment file that can be used to create an evironment to build
-both (1) and (2). However, each of Jupyter notebooks under (2) will require their own additional
-dependencies that are written in the beginning of them and needs to be installed into the active
-Conda environment. Furthermore, users with advanced Conda knowledge will see that the Conda environment
-file provided in this repo contains much more dependencies than the base Conda environment reuqires (i.e.
-essentially a Jupyter technology such as Jupyter Lab to execute notebooks) to build (2).
+This repository provides a `Conda environment file <https://github.com/NCAR/geocat-examples/blob/main/conda_environment.yml>`_
+that can be used to create an evironment to run the examples included in this gallery. 
 
-In order to create a Conda environment using the file provided by this repo, from the root directory of
-the cloned geocat-examples directory, run the following commands::
+To create a Conda environment using the file provided by this repo, from the root directory of
+the cloned geocat-examples repository (or the directory containing the ``conda_environment.yml``
+file you downloaded), run the following commands::
 
     conda env create -f conda_environment.yml -n geocat-examples
     conda activate geocat-examples
 
-Note that the Conda package manager automatically installs all the `required`
+Note that the Conda package manager automatically installs all of the `required`
 dependencies of GeoCAT-examples listed under ``conda_environment.yml`` file (such as ``geocat-comp``,
-``geocat-datafiles``, ``cartopy``, ``matplotlib``, ``netcdf4``, etc.); therefore, there is no need for
-explicitly installing those packages.
-
-If you need to make use of other software packages with GeoCAT-examples or are interested in
-running the Jupyter notebooks under (2) mentioned above, you may need to install them into your
-``geocat-examples`` environment at anytime with a command as in the
-following example (assuming your ``geocat-examples`` environment is already activated)::
-
-    conda install -c bokeh bokeh
-
-or in the way that is suggested by each Jupyter notebook under (2).
-
-
-Updating the ``geocat-examples`` environment
---------------------------------------------
-It is important to keep your environment up to date so you get the latest bugfixes and changes.
-This can be done as follows:
-
-Make sure your Conda is up to date by running this command from the terminal::
-
-    conda update conda
-
-Activate the conda environment you want to update::
-
-    conda activate geocat-examples
-
-Update all packages in the environment::
-
-    conda update --all
-
-Note that this will update all packages to the most recent version that is compatible with the other packages in the
-environment. You may notice with ``conda list`` that not every package in your environment is the latest version.
-This is generally okay.
+``geocat-datafiles``, ``cartopy``, ``matplotlib``, ``netcdf4``, etc.). There is no need to
+explicitly install these packages.
 
 If you are interested in learning more about how Conda environments work, please visit
 the `managing environments <https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html>`_