Using Python to automatically create square-mile figure-ground diagrams of cities' street networks, to compare urban form anywhere in the world

This file may be used to create an environment using:

$ conda create --name <env> --file <this file>

platform: win-64

ca-certificates=2016.9.26=0 certifi=2016.9.26=py35_0 click=6.6=py35_1 click-plugins=1.0.3=py35_0 cligj=0.4.0=py35_0 curl=7.49.1=vc14_2 cycler=0.10.0=py35_0 decorator=4.0.10=py35_0 descartes=1.0.2=py35_0 expat=2.1.0=vc14_2 fiona=1.7.1=np111py35_1 freetype=2.6.3=vc14_1 freexl=1.0.2=vc14_1 gdal=2.1.2=np111py35_vc14_5 geopandas=0.2.1=py35_3 geopy=1.11.0=py35_0 geos=3.5.1=vc14_1 hdf4=4.2.12=vc14_0 hdf5=1.8.17=vc14_8 jpeg=9b=vc14_0 kealib=1.4.6=vc14_3 libiconv=1.14=vc14_4 libnetcdf=4.4.1.1=vc14_2 libpng=1.6.26=vc14_0 libpq=9.5.4=vc14_3 libspatialindex=1.8.5=vc14_1 libspatialite=4.3.0a=vc14_13 libtiff=4.0.6=vc14_7 libxml2=2.9.3=vc14_9 matplotlib=1.5.3=np111py35_5 munch=2.0.4=py35_0 networkx=1.11=py35_0 openjpeg=2.1.2=vc14_1 openssl=1.0.2h=vc14_3 osmnx=0.1=py35_0 pandas=0.19.2=np111py35_1 pcre=8.39=vc14_0 pip=9.0.1=py35_0 proj4=4.9.3=vc14_2 psycopg2=2.6.2=py35_1 pyparsing=2.1.10=py35_0 pyproj=1.9.5.1=py35_0 pyqt=4.11.4=py35_2 pysal=1.13.0=py35_0 python=3.5.2=3 python-dateutil=2.6.0=py35_0 pytz=2016.10=py35_0 qt=4.8.7=vc14_6 requests=2.12.4=py35_0 rtree=0.8.3=py35_0 setuptools=32.3.0=py35_0 shapely=1.5.17=np111py35_2 sip=4.18=py35_1 six=1.10.0=py35_1 sqlalchemy=1.1.4=py35_0 sqlite=3.13.0=vc14_0 vc=14=0 vs2015_runtime=14.0.25420=0 wheel=0.29.0=py35_0 wincertstore=0.2=py35_0 xerces-c=3.1.4=vc14_2 zlib=1.2.8=vc14_3 mkl=11.3.3=1 numpy=1.11.2=py35_0 scipy=0.18.1=np111py35_0

/r/Python Thread Parent Link - geoffboeing.com