Name: geocode-nominatim
Owner: NPR visuals team
Description: Geocode structured & unstructured addresses using Nominatim service
Created: 2017-04-07 00:20:15.0
Updated: 2017-04-07 00:24:09.0
Pushed: 2017-04-07 00:29:56.0
Homepage: null
Size: 8
Language: Python
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Geocode addresses using Nominatim geocode service.
It uses a simple cache file to optimize the need for redundant geolocation.
If you plan to do a big geocoding batch, please contact Nominatim geocode service to let them know that you are planning to do so. They will point you to the right time to execute or give you some recommendations over what frequency to use, etc.
The following things are assumed to be true in this documentation.
For more details on the technology stack used with the app-template, see our development environment blog post.
This code should work fine in most recent versions of Linux, but package installation and system dependencies may vary.
The project contains the following folders and important files:
code – Where are lambda function code livestest– test csv files with some examples of allowed formatsgeocode.py – Main Python scriptrequirements.txt – Python requirements.To bootstrap the project:
clone git@github.com:nprapps/geocode-nominatim.git
eocode-nominatim
rtualenv geocode-nominatim
install -r requirements.txt
In order to geocode an unstructured address, create a csv file with the following headers:
hon geocode.py $CSVFILE
Where $CSVFILE is the path to the csv file on your hard drive
The results will be stored in the output folder
In order to geocode an unstructure address, create a csv file with the following headers:
Fill one or as many as the fields as you need to specify the location that you want to geocode. Then run the script
hon geocode.py $CSVFILE
Where $CSVFILE is the path to the csv file on your hard drive
The results will be stored in the output folder
If you have a mix of unstructured and structured location then create a csv file with the following headers:
Fill either the address for the unstructured locations and one or as many as the fields as you need to specify the location that you want to geocode for structured locations. Then run the script
hon geocode.py $CSVFILE
Where $CSVFILE is the path to the csv file on your hard drive
The results will be stored in the output folder
The geocode.py scripts can be customized with some advanced behaviors
You can add a debug flag to the script to have a more verbose execution
hon geocode.py $CSVFILE -d
If you want to test the execution on a sample of the data prior to launching the full dataset then:
hon geocode.py $CSVFILE -s $SAMPLE_SIZE
Where $SAMPLE_SIZE is the number of lines to be used for the sample from the beginning of the csv
The script uses a file based cache to optimize the number of requests to the Nominatim service.
If you do not want to use the file cache at all add the no-cache flag like this:
hon geocode.py $CSVFILE -C
You can customize the number of seconds to wait between consecutive executions of the geocoding service:
hon geocode.py $CSVFILE -w $WAIT_SECONDS
Where $WAIT_SECONDS is the number of seconds to wait until the next execution