Add installation instructions (microsoft#153)

* Add installation instructions

* Comment out instructions that require a stable release

README.md

@@ -20,32 +20,13 @@ Tests:
 
 ## Installation instructions
 
-Until the first release, you can install an environment compatible with torchgeo with `conda`, `pip`, or `spack` as shown below.
-
-### Conda
-
-**Note**: if you do not have access to a GPU or are running on macOS, replace `pytorch-gpu` with `pytorch-cpu` in the `environment.yml` file.
-
-```console
-$ conda config --set channel_priority strict
-$ conda env create --file environment.yml
-$ conda activate torchgeo
-```
-
-### Pip
-
-With Python 3.6 or later:
+The recommended way to install TorchGeo is with [pip](https://pip.pypa.io/):
 
 ```console
-$ pip install -r requirements.txt
+$ pip install git+https://github.com/microsoft/torchgeo.git
 ```
 
-### Spack
-
-```console
-$ spack env activate .
-$ spack install
-```
+For [conda](https://docs.conda.io/) and [spack](https://spack.io/) installation instructions, see the [documentation](https://torchgeo.readthedocs.io/en/latest/user/installation.html).
 
 ## Documentation
 

docs/index.rst

@@ -3,6 +3,13 @@ torchgeo
 
 .. automodule:: torchgeo
 
+.. toctree::
+   :maxdepth: 2
+   :caption: User Documentation
+
+   user/installation
+   user/glossary
+
 .. toctree::
    :maxdepth: 2
    :caption: Package Reference
@@ -20,12 +27,6 @@ torchgeo
    tutorials/getting_started
    tutorials/benchmarking
 
-.. toctree::
-   :maxdepth: 2
-   :caption: User Documentation
-
-   user/glossary
-
 .. toctree::
    :maxdepth: 1
    :caption: PyTorch Libraries

docs/user/installation.rst

@@ -0,0 +1,124 @@
+Installation
+============
+
+TorchGeo is simple and easy to install. We support installation using the `pip <https://pip.pypa.io/>`_, `conda <https://docs.conda.io/>`_, and `spack <https://spack.io/>`_ package managers, although you can also install from source if you want to.
+
+pip
+---
+
+..
+   Since TorchGeo is written in pure-Python, the easiest way to install it is using pip:
+
+   .. code-block:: console
+
+      $ pip install torchgeo
+
+
+If you want to install a development version, you can use a VCS project URL:
+
+.. code-block:: console
+
+   $ pip install git+https://github.com/microsoft/torchgeo.git
+
+
+or a local git checkout:
+
+.. code-block:: console
+
+   $ git clone https://github.com/microsoft/torchgeo.git
+   $ cd torchgeo
+   $ pip install .
+
+
+By default, only required dependencies are installed. TorchGeo has a number of optional dependencies for specific datasets or development. These can be installed with a comma-separated list:
+
+..
+   .. code-block:: console
+
+      $ pip install torchgeo[datasets]
+      $ pip install torchgeo[style,tests]
+
+.. code-block:: console
+
+   $ pip install .[datasets]
+   $ pip install .[style,tests]
+
+
+See the ``setup.cfg`` for a complete list of options. See the `pip documentation <https://pip.pypa.io/>`_ for more details.
+
+conda
+-----
+
+If you need to install non-Python dependencies like PyTorch, it's better to use a package manager like conda. First, you'll want to configure conda to only use the conda-forge channel:
+
+.. code-block:: console
+
+   $ conda config --add channels conda-forge
+   $ conda config --set channel_priority strict
+
+
+..
+   Now, you can install the latest stable release using:
+
+   .. code-block:: console
+
+      $ conda install torchgeo
+
+
+Conda does not directly support installing development versions, but you can use conda to install our dependencies, then use pip to install TorchGeo itself.
+
+.. code-block:: console
+
+   $ git clone https://github.com/microsoft/torchgeo.git
+   $ cd torchgeo
+   $ conda env create --file environment.yml
+   $ conda activate torchgeo
+   $ pip install .
+
+
+.. note:: If you do not have access to a GPU or are running on macOS, replace ``pytorch-gpu`` with ``pytorch-cpu`` in the ``environment.yml`` file.
+
+Conda does not directly support optional dependencies. If you install from conda-forge, only required dependencies will be installed by default. Optional dependencies can be installed afterwards using pip. If you install using the ``environment.yml`` file, all optional dependencies are installed by default.
+
+See the `conda-forge documentation <https://conda-forge.org/>`_ for more details.
+
+spack
+-----
+
+If you are working in an HPC environment or want to install your software from source, the easiest way is with spack:
+
+.. code-block:: console
+
+   $ spack install py-torchgeo
+   $ spack load py-torchgeo
+
+
+Our Spack package has a ``main`` version that can be used to install the latest commit:
+
+.. code-block:: console
+
+   $ spack install py-torchgeo@main
+   $ spack load py-torchgeo
+
+Optional dependencies can be installed by enabling build variants:
+
+.. code-block:: console
+
+   $ spack install py-torchgeo+datasets
+   $ spack install py-torchgeo+style+tests
+
+Run ``spack info py-torchgeo`` for a complete list of variants.
+
+See the `spack documentation <https://spack.readthedocs.io/>`_ for more details.
+
+source
+------
+
+TorchGeo can also be installed from source using the ``setup.py`` file and setuptools.
+
+.. code-block:: console
+
+   $ git clone https://github.com/microsoft/torchgeo.git
+   $ cd torchgeo
+   $ python setup.py build
+   $ python setup.py install