Merge pull request #1070 from gboeing/docs

update docs

README.md

@@ -7,7 +7,7 @@
 
 # OSMnx
 
-**OSMnx** is a Python package to download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then easily analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
+**OSMnx** is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
 
 ## Citation
 

docs/index.rst

@@ -1,7 +1,7 @@
 OSMnx |version|
 ===============
 
-**OSMnx** is a Python package to download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then easily analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
+**OSMnx** is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
 
 Citation
 --------

docs/installation.rst

@@ -22,7 +22,7 @@ You can run OSMnx + JupyterLab directly from the official OSMnx `Docker`_ image.
 Pip
 ---
 
-If you already have all of its dependencies installed and tested on your system, you can install OSMnx with `pip`_. OSMnx is written in pure Python and its installation alone is thus trivially simple. However, it depends on other packages written in C. Installing those dependencies with pip can be challenging depending on your specific system's configuration. Therefore, if you don't know exactly what you're doing, just follow the conda instructions above to avoid installation problems.
+If you already have all of its dependencies installed and tested on your system, you can install OSMnx with `pip`_. OSMnx is written in pure Python and its installation alone is thus trivially simple. However, it depends on other packages written in C. Installing those dependencies with pip can be challenging depending on your specific system's configuration. Therefore, if you're not sure what you're doing, just follow the conda instructions above to avoid installation problems.
 
 .. _conda: https://conda.io/
 .. _conda-forge: https://conda-forge.org/

environments/docker/Dockerfile

@@ -7,7 +7,7 @@
 FROM jupyter/base-notebook
 LABEL maintainer="Geoff Boeing <[email protected]>"
 LABEL url="https://osmnx.readthedocs.io"
-LABEL description="OSMnx is a Python package to download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap."
+LABEL description="OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap."
 
 COPY --chmod=0755 requirements.txt /tmp