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Merge pull request #57 from CartoDB/iri/geonames2

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fixes markdown
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Carla
2014-08-26 11:08:20 +02:00
parent a6a28d7352 5e5fc1777c
commit b57b9679dc
1 changed files with 21 additions and 18 deletions
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geocoder/postal-codes/README.md
+13 -10
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@@ -24,7 +24,7 @@ All countries points [GeoNames](www.geonames.org) - http://download.geonames.org
# Postal code geocoder (points) # Postal code geocoder (points)
1. Download the allCountries.zip file from [GeoNames](www.geonames.org). Import and rename the table as tmp_zipcode_points. You can follow the manual process explained below instead. Download the allCountries.zip file from [GeoNames](www.geonames.org). Import and rename the table as tmp_zipcode_points. You can follow the manual process explained below instead.
This dataset includes data for the following countries: This dataset includes data for the following countries:
@@ -36,23 +36,26 @@ MH, RO, FO, GF, AD, HR, DZ, GT, AU, AS, BE, AT
```` ````
The columns that are loaded are the following ones: The columns that are loaded are the following ones:
field_1: corresponding to ISO2
field_10: corresponds to latitude
field_11: corresponds to longitude
field_2: corresponds to ZIP code
2. Georeference the table using field11 as longitude and field10 as latitude in order to construct the_geom. - field_1: corresponding to ISO2
- field_10: corresponds to latitude
- field_11: corresponds to longitude
- field_2: corresponds to ZIP code
3. Add column iso3 (text) and run sql/build_zipcode_points_table.sql. 1. Georeference the table using field11 as longitude and field10 as latitude in order to construct the_geom.
2. Add column iso3 (text) and run sql/build_zipcode_points_table.sql.
**Alternative manual process** **Alternative manual process**
Open the allCountries.txt file with Excel an add a new row on top. Delete columns C-I and L. 1. Open the allCountries.txt file with Excel an add a new row on top.
In the first row, add the following columns: iso2, zipcode, lat, long. 2. Delete columns C-I and L.
Import the file ignoring step 2. 3. In the first row, add the following columns: iso2, zipcode, lat, long.
4. Import the file ignoring step 1.
_The big size of the dataset may cause interruptions in the processing of the coordinates after uploading the file, manipulating the file before importing is a faster workaround._ _The big size of the dataset may cause interruptions in the processing of the coordinates after uploading the file, manipulating the file before importing is a faster workaround._