doc linkcheck passes

Author: kbarnhart

README.md

@@ -3,7 +3,7 @@
 [![Build status](https://ci.appveyor.com/api/projects/status/0ehba569dttgsuyv?svg=true)](https://ci.appveyor.com/project/kbarnhart/umami)
 [![Coverage Status](https://coveralls.io/repos/github/TerrainBento/umami/badge.svg?branch=master)](https://coveralls.io/github/TerrainBento/umami?branch=master)
 [![Anaconda-Server Badge](https://anaconda.org/conda-forge/umami/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge)
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FWelcome.ipynb)
+[![Binder](https://static.mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FWelcome.ipynb)
 [![DOI](https://joss.theoj.org/papers/10.21105/joss.01776/status.svg)](https://doi.org/10.21105/joss.01776)
 
 
@@ -15,7 +15,7 @@ with
 [terrainbento](https://github.com/TerrainBento/terrainbento) and other models built with the
 [Landlab Toolkit](https://github.com/landlab/landlab). Examples can be
 found in the `notebooks` directory (or on Binder
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FWelcome.ipynb)
+[![Binder](https://static.mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FWelcome.ipynb)
 ).
 
 Umami offers two primary classes:

docs/source/index.rst

@@ -52,9 +52,9 @@ To get help or ask questions, please make an `issue on GitHub`_.
 Installation Instructions
 -------------------------
 
-Installation is described on `this`_ section of the README.
+Installation is described in `the README`_ .
 
-.. _this: https://github.com/TerrainBento/umami#where-to-get-it
+.. _the README: https://github.com/TerrainBento/umami
 
 Contributing
 ------------

umami/calculations/metric/chi_intercept_gradient.py

@@ -15,14 +15,14 @@ def chi_intercept(chi_finder):
     This is a loose wrapper around the Landlab function
     `ChiFinder.best_fit_chi_elevation_gradient_and_intercept`_.
 
-    .. _ChiFinder.best_fit_chi_elevation_gradient_and_intercept: https://landlab.readthedocs.io/en/release/landlab.components.chi_index.html#landlab.components.chi_index.ChiFinder.best_fit_chi_elevation_gradient_and_intercept
+    .. _ChiFinder.best_fit_chi_elevation_gradient_and_intercept: https://landlab.readthedocs.io/en/master/reference/components/index.html#landlab.components.ChiFinder.best_fit_chi_elevation_gradient_and_intercept
 
     Parameters
     ----------
     chi_finder : an instance of a `ChiFinder`_
 
 
-    .. _ChiFinder: https://landlab.readthedocs.io/en/release/landlab.components.chi_index.html
+    .. _ChiFinder: https://landlab.readthedocs.io/en/master/reference/components/chi_index.html
 
 
     Returns
@@ -78,14 +78,14 @@ def chi_gradient(chi_finder):
     This is a loose wrapper around the Landlab function
     `ChiFinder.best_fit_chi_elevation_gradient_and_intercept`_.
 
-    .. _ChiFinder.best_fit_chi_elevation_gradient_and_intercept: https://landlab.readthedocs.io/en/release/landlab.components.chi_index.html#landlab.components.chi_index.ChiFinder.best_fit_chi_elevation_gradient_and_intercept
+    .. _ChiFinder.best_fit_chi_elevation_gradient_and_intercept: https://landlab.readthedocs.io/en/master/reference/components/index.html#landlab.components.ChiFinder.best_fit_chi_elevation_gradient_and_intercept
 
     Parameters
     ----------
     chi_finder : an instance of a `ChiFinder`_
 
 
-    .. _ChiFinder: https://landlab.readthedocs.io/en/release/landlab.components.chi_index.html
+    .. _ChiFinder: https://landlab.readthedocs.io/en/master/reference/components/chi_index.html
 
 
     Returns

umami/calculations/residual/discretized_misfit.py

@@ -18,7 +18,7 @@ def discretized_misfit(
     The following Binder notebook shows example usage of this umami
     calculation.
 
-    .. image:: https://mybinder.org/badge_logo.svg
+    .. image:: https://static.mybinder.org/badge_logo.svg
         :target: https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FDiscretizedMisfit.ipynb
 
     The ``discretized_misfit`` calculation first classifies each grid cell in