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The documentation you are referencing (see the proposed answer below) from the Census Bureau's site refers solely to the Landview 6 product (released in 2003). The Census Bureau does not release information about specific addresses, including the exact location, due to Title 13 of the US Code. The TIGER/Line Shapefiles and the Census Geocoder documentation ...


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Start by considering synonyms for what you're calling "colloquial area", other than district or ward: neighborhood, region, zone, etc. See if there are already maps of such areas. Real estate agents often divide cities up into well-known but unofficial areas because they wish to group properties roughly according to market value and accepted colloquial ...


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Currently the Suggest operation (part of the ArcGIS Online REST API) does not support the countryCode or searchExtent parameters. Support for searchExtent will be added as part of the next ArcGIS Online update, while countryCode will be added in a subsequent release.


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I have a script I use to take a list of addresses and geocode them to points in a new feature class. You just need to download the requests module and supply a service url for a Geocoding REST service. I do not really know of any open source geocoding services though. import requests import json import arcpy import os import sys arcpy.env.overwriteOutput ...


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OpenData BoundaryLine (Ordnance Survey) ONS Postcode Directory (ONSPD) May 2014 edition. This includes full UK (including Northern Ireland) Code-POINT Code-Point Open (May 2014) This is a mirror that is updated yearly (or better) http://parlvid.mysociety.org/os/ Using all three you can build up a postcode to at best a district and a ward (We have done ...


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I geocode millions of records all the time. The best method I have found, is to split the file into subsets so as to not run into 'out of memory' errors. Also, right click your locator, and click properties. There is a 'performance' section, cranking up the 'Data cache size' speeds up geocoding immensely, same with 'Number of threads'. But make sure not too ...


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There are 2 Versions of the Community License COMMUNITY EDITION (Licensed Data) A popular free option among developers, the Community Edition using Licensed Data offers an industry-leading platform that includes the developer tools and resources needed to build rich and engaging mapping applications. General restrictions and requirements regarding the use ...


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You should be able to achive you goal using free geocoders with a little bit of scripting on top. First you should probalby look into the OpenStreetMap Nominatim (http://wiki.openstreetmap.org/wiki/Nominatim) Here however there are certain use policies that you must apply to. In the link i have give you, it is stated, that Mapbox have a similar service ...


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The "paths" they are referring to are the program executables (*.exe) for your system, as mentioned in step 4. For example, if you are using 7-zip for unzipping data, you would replace: <unzip_command> with "C:\Program Files (x86)\7-Zip\7z.exe" in the SELECT portion of the SQL statement. You could make this easier by creating SQL variables ...


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I agree with you that the instructions in this step are unclear. My interpretation is that you run this command, then edit the value of the declare_sect column in the loader_platform table that's created by the command. The value of the declare_sect column rows should be the path to the os commands listed (e.g. pg, unzip, etc...).


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Neighbourhood names are tricky, one possible source is the Flickr Shapefiles. You could look at Tom Taylor's work (referred to from here) but it seems not to be working today.


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This is an interesting piece on such data for the UK. Public data in the UK is often not-public, including post codes Anyway the article provided via the link above will give you a direct link to the data you require. I'll let you decide on the morality of using wikileaks for such information.


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NOTE: Since I added this answer JLH has given a much better one, so please refer to his answer. My original conclusion below: I received no answers on this, so naturally I investigated it further myself. My Conclusion: the Tiger data is precise enough to geocode to the correct street, but not to the actual lot. I determined this after testing a good ...



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