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postal-codes

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Carla 2014-08-26 11:24:43 +02:00
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geocoder/postal-codes/README.md
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@ -3,8 +3,14 @@ Postal code geocoder (polygons)
### Function ### Function
By following the next steps a table is populated with zipcodes from Australia, Canada, USA and France (identified by iso3) related with their spatial location in terms of polygons.
### Creation steps ### Creation steps
1. Import the four files attached in the section "Datasources".
2. Run sql/build_data_table.sql. Notice that table "postal_code_polygons" should exist in advance with columns: _the_geom_, _adm0_a3_ and _postal_code_.
### Data Sources ### Data Sources
Australian polygons - http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/2033.0.55.0012011?OpenDocument Australian polygons - http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/2033.0.55.0012011?OpenDocument
@ -17,45 +23,60 @@ USA polygons - http://www2.census.gov/geo/tiger/TIGER2013/ZCTA5/tl_2013_us_zcta5
French polygons - http://www.data.gouv.fr/dataset/fond-de-carte-des-codes-postaux French polygons - http://www.data.gouv.fr/dataset/fond-de-carte-des-codes-postaux
All countries points [GeoNames](www.geonames.org) - http://download.geonames.org/export/zip/allCountries.zip
### Preparation details ### Preparation details
The names of the imported files are:
- doc for Australia table
- gfsa000a11a_e for Canada table
- tl_2013_us_zcta510 for USA table
- codes_postaux for France table
# Postal code geocoder (points) # Postal code geocoder (points)
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. ### Function
This dataset includes data for the following countries: By following the next steps a table is populated with zipcodes of different countries (identified by iso3) related with their spatial location in terms of points.
````
CH, ES, GU, ZA, MX, SJ, NL, RU, AX, TH, AR, MY, RE, LK, GB, IS, GL, JE, DK, IN,
SI, GP, MQ, BR, SM, BG, NZ, MP, CZ, DO, MD, PK, TR, VI, BD, GG, LT, PM, MC, US,
IT, LU, SK, LI, PR, IM, NO, PT, PL, FI, JP, CA, DE, HU, PH, SE, VA, YT, MK, FR,
MH, RO, FO, GF, AD, HR, DZ, GT, AU, AS, BE, AT
````
The columns that are loaded are the following ones: This dataset includes data for the following countries:
- field_1: corresponding to ISO2 ````
- field_10: corresponds to latitude CH, ES, GU, ZA, MX, SJ, NL, RU, AX, TH, AR, MY, RE, LK, GB, IS, GL, JE, DK, IN,
- field_11: corresponds to longitude SI, GP, MQ, BR, SM, BG, NZ, MP, CZ, DO, MD, PK, TR, VI, BD, GG, LT, PM, MC, US,
- field_2: corresponds to ZIP code IT, LU, SK, LI, PR, IM, NO, PT, PL, FI, JP, CA, DE, HU, PH, SE, VA, YT, MK, FR,
MH, RO, FO, GF, AD, HR, DZ, GT, AU, AS, BE, AT
````
1. Georeference the table using field11 as longitude and field10 as latitude in order to construct the_geom. ### Creation steps
2. Add column iso3 (text) and run sql/build_zipcode_points_table.sql. 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.
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.
3. Add column iso3 (text) and run sql/build_zipcode_points_table.sql.
**Alternative manual process** **Alternative manual process**
1. Open the allCountries.txt file with Excel an add a new row on top. Open the allCountries.txt file with Excel an add a new row on top. Delete columns C-I and L.
2. Delete columns C-I and L. In the first row, add the following columns: iso2, zipcode, lat, long.
3. In the first row, add the following columns: iso2, zipcode, lat, long. Import the file ignoring step 2.
4. Import the file ignoring step 1. ### Data Sources
All countries points [GeoNames](www.geonames.org) - http://download.geonames.org/export/zip/allCountries.zip
### Preparation details
_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._