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cartographr / cartograpy

Some scripts to generate nice maps using OSM data in Python and R

Bretagne

cartograpy

Cartograpy is the python version of these scripts. It's set up to be run from the command line.

But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:

  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0

Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.

cartograpy usage

  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py

This will create a map of Santa Barbara's roads (the default):

Santa Barbara

But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:

python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:

Denver, CO

That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.

Let's try with just trunk, primary, and residential roads:

python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:

Denver, CO 2

You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:

python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

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R project to make pretty minimal map prints

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cartographr / cartograpy
Some scripts to generate nice maps using OSM data in Python and R
Bretagne
cartograpy
Cartograpy is the python version of these scripts. It's set up to be run from the command line.
But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:
  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0
Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.
cartograpy usage
  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py
This will create a map of Santa Barbara's roads (the default):
Santa Barbara
But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:
python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:
Denver, CO
That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.
Let's try with just trunk, primary, and residential roads:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:
Denver, CO 2
You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

About
R project to make pretty minimal map prints
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, 'i');
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GitHub - sacul-git/cartographr: R project to make pretty minimal map prints · GitHub
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cartographr / cartograpy
Some scripts to generate nice maps using OSM data in Python and R
Bretagne
cartograpy
Cartograpy is the python version of these scripts. It's set up to be run from the command line.
But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:
  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0
Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.
cartograpy usage
  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py
This will create a map of Santa Barbara's roads (the default):
Santa Barbara
But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:
python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:
Denver, CO
That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.
Let's try with just trunk, primary, and residential roads:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:
Denver, CO 2
You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

About
R project to make pretty minimal map prints
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cartographr / cartograpy
Some scripts to generate nice maps using OSM data in Python and R
Bretagne
cartograpy
Cartograpy is the python version of these scripts. It's set up to be run from the command line.
But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:
  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0
Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.
cartograpy usage
  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py
This will create a map of Santa Barbara's roads (the default):
Santa Barbara
But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:
python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:
Denver, CO
That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.
Let's try with just trunk, primary, and residential roads:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:
Denver, CO 2
You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

About
R project to make pretty minimal map prints
Resources
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
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try {
var __m = "youtube.com";
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GitHub - sacul-git/cartographr: R project to make pretty minimal map prints · GitHub
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cartographr / cartograpy
Some scripts to generate nice maps using OSM data in Python and R
Bretagne
cartograpy
Cartograpy is the python version of these scripts. It's set up to be run from the command line.
But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:
  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0
Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.
cartograpy usage
  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py
This will create a map of Santa Barbara's roads (the default):
Santa Barbara
But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:
python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:
Denver, CO
That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.
Let's try with just trunk, primary, and residential roads:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:
Denver, CO 2
You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

About
R project to make pretty minimal map prints
Resources
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
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cartographr / cartograpy
Some scripts to generate nice maps using OSM data in Python and R
Bretagne
cartograpy
Cartograpy is the python version of these scripts. It's set up to be run from the command line.
But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:
  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0
Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.
cartograpy usage
  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py
This will create a map of Santa Barbara's roads (the default):
Santa Barbara
But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:
python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:
Denver, CO
That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.
Let's try with just trunk, primary, and residential roads:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:
Denver, CO 2
You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

About
R project to make pretty minimal map prints
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
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0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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cartographr / cartograpy
Some scripts to generate nice maps using OSM data in Python and R
Bretagne
cartograpy
Cartograpy is the python version of these scripts. It's set up to be run from the command line.
But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:
  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0
Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.
cartograpy usage
  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py
This will create a map of Santa Barbara's roads (the default):
Santa Barbara
But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:
python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:
Denver, CO
That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.
Let's try with just trunk, primary, and residential roads:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:
Denver, CO 2
You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

About
R project to make pretty minimal map prints
Resources
Readme
Activity
Stars
1 star
Watchers
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Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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GitHub - sacul-git/cartographr: R project to make pretty minimal map prints · GitHub
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cartographr / cartograpy
Some scripts to generate nice maps using OSM data in Python and R
Bretagne
cartograpy
Cartograpy is the python version of these scripts. It's set up to be run from the command line.
But first, it's important to note that cartograpy relies on some pretty finicky modules, and hasn't been tested on multiple versions. It works fine on:
  • python version 2.7.14
  • overpy version 1.1
  • matplotlib version 2.1.1
  • fiona version 1.7.10
  • geopy version 1.11.0
Note also that it depends on the now deprecated mpl_toolkits.basemap. I'll hopefully update soon to run on cartopy instead.
cartograpy usage
  • Clone or download this repository from github
  • Navigate to the cartograpy foler in the directory your just downloaded in the command line (Windows) or terminal (Mac and Linux)
  • In the command line, run python cartograpy.py
This will create a map of Santa Barbara's roads (the default):
Santa Barbara
But wait! Maybe you don't want a map of Santa Barbara! Maybe you prefer another city? You can use the -c or --city argument to specify which city you want plotted. Let's try with Denver, Colorado:
python cartograpy.py -c "Denver CO"

It takes a while to download these roads, as it's a pretty big city. The output looks like:
Denver, CO
That's a lot of roads! No wonder it took so long to download... You can use the -r or --roads argument to specify which road types you want. You can pick from 'trunk', 'motorway', 'primary', 'secondary', 'tertiary', 'unclassified','residential', and or 'service' roads.
Let's try with just trunk, primary, and residential roads:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential

This is much faster. You end up with:
Denver, CO 2
You could also specify whether you want a png or pdf output with the -e or --extension argument. This would get you the same map but as a pdf:
python cartograpy.py -c "Denver CO" -r motorway trunk primary residential -e pdf

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R project to make pretty minimal map prints
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