Add changelog for 1.1.0 (#152)

Created a changelog for the new 1.1.0 release with Zenodo DOI.
Updated the authors list and made it alphabetical by last name.
Updated install instructions to be clearer what numba and pykdtree do.

AUTHORS.md

@@ -1,9 +1,8 @@
 # Project Contributors
 
-This project was initially created by
-[Leonardo Uieda](http://www.leouieda.com/).
+This project was started by [Leonardo Uieda](http://www.leouieda.com/). The following
+people have made contributions to the project (in alphabetical order by last name):
 
-The following people have made contributions to the project:
-
-* [Leonardo Uieda](http://www.leouieda.com/)
 * [David Hoese](https://github.com/djhoese)
+* [Jesse Pisel](https://github.com/jessepisel)
+* [Leonardo Uieda](https://github.com/leouieda)

README.rst

@@ -162,5 +162,6 @@ Documentation for other versions
 * `Development <http://www.fatiando.org/verde/dev>`__ (reflects the *master* branch on
   Github)
 * `Latest release <http://www.fatiando.org/verde/latest>`__
+* `v1.1.0 <http://www.fatiando.org/verde/v1.1.0>`__
 * `v1.0.1 <http://www.fatiando.org/verde/v1.0.1>`__
 * `v1.0.0 <http://www.fatiando.org/verde/v1.0.0>`__

doc/changes.rst

@@ -3,8 +3,49 @@
 Changelog
 =========
 
-Version 1.0.1 (2018-10-10)
---------------------------
+
+Version 1.1.0
+-------------
+
+*Released on: 2018/11/06*
+
+.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1478245.svg
+   :target: https://doi.org/10.5281/zenodo.1478245
+
+New features:
+
+* **New** ``verde.grid_to_table`` function that converts grids to xyz tables with the
+  coordinate and data values for each grid point
+  (`#148 <https://github.com/fatiando/verde/pull/148>`__)
+* Add an ``extra_coords`` option to coordinate generators (``grid_coordinates``,
+  ``scatter_points``, and ``profile_coordinates``) to specify a constant value to be
+  used as an extra coordinate (`#145 <https://github.com/fatiando/verde/pull/145>`__)
+* Allow gridders to pass extra keyword arguments (``**kwargs``) for the coordinate
+  generator functions (`#144 <https://github.com/fatiando/verde/pull/144>`__)
+
+Improvements:
+
+* Don't use the Jacobian matrix for predictions to avoid memory overloads. Use dedicated
+  and numba wrapped functions instead. As a consequence, predictions are also a bit
+  faster when numba is installed (`#149 <https://github.com/fatiando/verde/pull/149>`__)
+* Set the default ``n_splits=5`` when using ``KFold`` from scikit-learn
+  (`#143 <https://github.com/fatiando/verde/pull/143>`__)
+
+Bug fixes:
+
+* Use the xarray grid's pcolormesh method instead of matplotlib to plot grids in the
+  examples. The xarray method takes care of shifting the pixels by half a spacing when
+  grids are not pixel registered (`#151 <https://github.com/fatiando/verde/pull/151>`__)
+
+New contributors to the project:
+
+* Jesse Pisel
+
+
+Version 1.0.1
+-------------
+
+*Released on: 2018/10/10*
 
 .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1421979.svg
    :target: https://doi.org/10.5281/zenodo.1421979
@@ -16,8 +57,10 @@ Version 1.0.1 (2018-10-10)
 * Fix typo in the weights tutorial (`#136 <https://github.com/fatiando/verde/pull/136>`__).
 
 
-Version 1.0.0 (2018-09-13)
---------------------------
+Version 1.0.0
+-------------
+
+*Released on: 2018/09/13*
 
 .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1415281.svg
    :target: https://doi.org/10.5281/zenodo.1415281

doc/install.rst

@@ -29,11 +29,12 @@ Dependencies
 The following are optional dependencies that can make some parts of the code faster if
 they are installed:
 
+* `numba <https://numba.pydata.org/>`__: replaces numpy calculations of predictions and
+  Jacobian matrices in splines with faster and more memory efficient multi-threaded
+  versions.
 * `pykdtree <https://github.com/storpipfugl/pykdtree>`__: replaces
-  :class:`scipy.spatial.cKDTree` in :class:`verde.BlockReduce` and
-  :func:`verde.distance_mask` for better performance.
-* `numba <https://numba.pydata.org/>`__: replaces numpy calculations of Jacobian
-  matrices in splines with multi-threaded versions.
+  :class:`scipy.spatial.cKDTree` for better performance in near neighbor calculations
+  used in blocked operations, distance masking, etc.
 
 Most of the examples in the :ref:`gallery` and :ref:`tutorials` also use: