adapt TIGER conversion script for python 3

This commit is contained in:
Sarah Hoffmann 2019-07-28 20:51:06 +02:00
parent 7753ba6019
commit 46e077c40b
2 changed files with 5 additions and 8 deletions

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@ -9,9 +9,7 @@ Replace '2018' with the current year throughout.
1. Install the GDAL library and python bindings and the unzip tool
# Ubuntu:
sudo apt-get install python-gdal unzip
# CentOS:
sudo yum install gdal-python unzip
sudo apt-get install python3-gdal unzip
2. Get the TIGER 2018 data. You will need the EDGES files
(3,233 zip files, 11GB total).
@ -22,8 +20,7 @@ Replace '2018' with the current year throughout.
cd data-sources/us-tiger
./convert.sh <input-path> <output-path>
4. Maybe: package the created files
tar -czf tiger2018-nominatim-preprocessed.tar.gz tiger

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@ -1,4 +1,4 @@
#!/usr/bin/python
#!/usr/bin/python3
# Tiger road data to OSM conversion script
# Creates Karlsruhe-style address ways beside the main way
# based on the Massachusetts GIS script by christopher schmidt
@ -164,7 +164,7 @@ def parse_shp_for_geom_and_tags( filename ):
if (statefp != None) and (countyfp != None):
county_name = county_fips_data.get(statefp + '' + countyfp)
if county_name:
tags["tiger:county"] = county_name.encode("utf-8")
tags["tiger:county"] = county_name
# tlid = poFeature.GetField("TLID")
# if tlid != None: