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adapt TIGER conversion script for python 3
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@ -9,9 +9,7 @@ Replace '2018' with the current year throughout.
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1. Install the GDAL library and python bindings and the unzip tool
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# Ubuntu:
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sudo apt-get install python-gdal unzip
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# CentOS:
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sudo yum install gdal-python unzip
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sudo apt-get install python3-gdal unzip
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2. Get the TIGER 2018 data. You will need the EDGES files
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(3,233 zip files, 11GB total).
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@ -22,8 +20,7 @@ Replace '2018' with the current year throughout.
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cd data-sources/us-tiger
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./convert.sh <input-path> <output-path>
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4. Maybe: package the created files
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tar -czf tiger2018-nominatim-preprocessed.tar.gz tiger
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@ -1,4 +1,4 @@
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#!/usr/bin/python
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#!/usr/bin/python3
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# Tiger road data to OSM conversion script
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# Creates Karlsruhe-style address ways beside the main way
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# based on the Massachusetts GIS script by christopher schmidt
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@ -164,7 +164,7 @@ def parse_shp_for_geom_and_tags( filename ):
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if (statefp != None) and (countyfp != None):
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county_name = county_fips_data.get(statefp + '' + countyfp)
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if county_name:
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tags["tiger:county"] = county_name.encode("utf-8")
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tags["tiger:county"] = county_name
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# tlid = poFeature.GetField("TLID")
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# if tlid != None:
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