Merge pull request projectmesa#999 from EdwardBetts/spelling

Correct spelling

CONTRIBUTING.rst

@@ -71,7 +71,7 @@ We test by implementing simple models and through traditional unit tests in the
 
     py.test --cov=mesa tests/
 
-With respect to code standards, we follow `PEP8`_ and the `Google Style Guide`_. We recommend to use `black`_ as an automated code formatter. You can automatically format your code using `pre-commit`_, which will prevent `git commit` of unstyled code and will automtically apply black style so you can immediately re-run `git commit`. To set up pre-commit run the following commands:
+With respect to code standards, we follow `PEP8`_ and the `Google Style Guide`_. We recommend to use `black`_ as an automated code formatter. You can automatically format your code using `pre-commit`_, which will prevent `git commit` of unstyled code and will automatically apply black style so you can immediately re-run `git commit`. To set up pre-commit run the following commands:
 
 .. code-block:: bash
 

HISTORY.rst

@@ -483,14 +483,14 @@ Theme: Scipy Sprints ( ‘-’)人(ﾟ_ﾟ )
 0.6.0 (2015-06-21)
 ++++++++++++++++++
 
-* Improvment: Add modular server feature, which breaks up a model into a .py file and a .js file. This breaks backwards compatibility.
+* Improvement: Add modular server feature, which breaks up a model into a .py file and a .js file. This breaks backwards compatibility.
 
 Pre 0.6.0
 ++++++++++++++++++
 
 Code that is pre-0.6.0 is very unstable.
 
-Our inital release was 0.5.0 (2014-11).
+Our initial release was 0.5.0 (2014-11).
 
 It included code for placing agents on a grid; a data collector and batch runner; and a front-end visualization using HTML 5 and JavaScript.
 

docs/best-practices.rst

@@ -35,7 +35,7 @@ It's easy to create a cookiecutter mesa model by running ``mesa startproject``
 Randomization
 -------------
 
-If your model involves some random choice, you can use the build-in ``random``
+If your model involves some random choice, you can use the built-in ``random``
 property that Mesa ``Model`` and ``Agent`` objects have. This works exactly
 like the built-in ``random`` library.
 

docs/modular-visualization.rst

@@ -46,7 +46,7 @@ Using Pre-Built Modules
 
 Mesa already comes with some pre-built modules. Using the built-ins
 allow you to build a visualization without worrying about the HTML and
-javascript. Consult the documention for a variety of modules.
+javascript. Consult the documentation for a variety of modules.
 
 One built-in module is **CanvasGrid**, which you can use to visualize
 objects located on grid cells. The CanvasGrid will cover a majority of

docs/packages.rst

@@ -27,7 +27,7 @@ This process isn't perfect. Just because you write something doesn't mean people
 
 **What is in this doc**
 
-There are two sections in this documention. The first is the User Guide, which is aimed at users of packages. The section is a package development guide, which is aimed at those who want to develop packages. Without further ado, let's get started!
+There are two sections in this documentation. The first is the User Guide, which is aimed at users of packages. The section is a package development guide, which is aimed at those who want to develop packages. Without further ado, let's get started!
 
 
 User Guide
@@ -120,7 +120,7 @@ References
 
 Grimm, Volker, Eloy Revilla, Uta Berger, Florian Jeltsch, Wolf M. Mooij, Steven F. Railsback, Hans-Hermann Thulke, Jacob Weiner, Thorsten Wiegand, and Donald L. DeAngelis. 2005. “Pattern-Oriented Modeling of Agent Based Complex Systems: Lessons from Ecology.” American Association for the Advancement of Science 310 (5750): 987–91. doi:10.1126/science.1116681.
 
-Hunt, Andrew, and David Thomas. 2010. The Pragmatic Progammer: From Journeyman to Master. Reading, Massachusetts: Addison-Wesley.
+Hunt, Andrew, and David Thomas. 2010. The Pragmatic Programmer: From Journeyman to Master. Reading, Massachusetts: Addison-Wesley.
 
 Leek, Jeffrey T., and Roger D. Peng. 2015. “Reproducible Research Can Still Be Wrong: Adopting a Prevention Approach.” Proceedings of the National Academy of Sciences 112 (6): 1645–46. doi:10.1073/pnas.1421412111.
 

mesa/batchrunner.py

@@ -88,7 +88,7 @@ def __init__(
             agent_reporters: Like model_reporters, but each variable is now
                 collected at the level of each agent present in the model at
                 the end of the run.
-            display_progress: Display progresss bar with time estimation?
+            display_progress: Display progress bar with time estimation?
 
         """
         self.model_cls = model_cls
@@ -362,7 +362,7 @@ def __init__(
         Args:
             model_cls: The class of model to batch-run.
             variable_parameters: Dictionary of parameters to lists of values.
-                The model will be run with every combo of these paramters.
+                The model will be run with every combo of these parameters.
                 For example, given variable_parameters of
                     {"param_1": range(5),
                      "param_2": [1, 5, 10]}

mesa/space.py

@@ -59,7 +59,7 @@ class Grid:
         get_neighborhood: Returns the cells surrounding a given cell.
         get_cell_list_contents: Returns the contents of a list of cells
             ((x,y) tuples)
-        neighbor_iter: Iterates over position neightbors.
+        neighbor_iter: Iterates over position neighbours.
         coord_iter: Returns coordinates as well as cell contents.
         place_agent: Positions an agent on the grid, and set its pos variable.
         move_agent: Moves an agent from its current position to a new position.
@@ -510,7 +510,7 @@ class HexGrid(Grid):
     Methods:
         get_neighbors: Returns the objects surrounding a given cell.
         get_neighborhood: Returns the cells surrounding a given cell.
-        neighbor_iter: Iterates over position neightbors.
+        neighbor_iter: Iterates over position neighbours.
         iter_neighborhood: Returns an iterator over cell coordinates that are
             in the neighborhood of a certain point.