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4

There really isn't a way to tell this; since there is not a ZipCode boundary shape that is defined by the USPS. ZipCodes are defined by a bounding box of Streets delivered to by carriers from a particular distribution center. So you would need to take the USPS AIS data and extract by ZipCodes the streets that are delivered by a given Post Office, then Join ...


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One of the biggest misconceptions GIS users have about ZIP codes is that they are a set of polygons that cover the United States--they are not. ZIP codes are a system used by the Postal Service for sorting mail before delivery, and nothing more. If an address receives enough mail, the USPS will just assign them a ZIP code to improve sorting efficiency. Many ...


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We've recently released reconstructed postcode boundaries in shapefile format for UK postcode areas, districts and sectors (reconstructed from unit postcode geocodes using Voronoi etc). They are free to use. Obviously the reconstruction is approximate and may not be suitable for all purposes. They are available at http://www.opendoorlogistics.com/data.


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You need census data, the spatial files for postal code geography (census tacts, dissemination areas ..... some form of spatial parameter) and you should read up on the Cluster Analysis Tool in ArcGIS. The database containing the the census data includes household income, family size, etc, etc (most of the data you will need). The cluster analysis will ...


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Paid for EZ-Locate (TeleAtlas - owned by TomTom) http://www.geocode.com/index.cfm?module=download NAVmart (NavTeq owned by Nokia) http://www.navmart.com/geocoding.php http://www.navmart.com/geocoding_services.php Free Via Michelin (API and better coverage in Europe rather than globally) http://dev.viamichelin.com/ Geonames (good open-source - patchy ...


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UK postcodes don't cover polygons. They cover a set of individual delivery points which are not necessarily contiguous. It is certainly possible, given the co-ordinates for these delivery points, to describe a polygon such that all the co-ordinates are within that polygon. However, such a polygon would not be a unique solution - there would be many polygons ...


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I am sorry I dont know of any specific algorithm, but I could find some links which might be helpful. Purchasing Power in Europe A New Method for Classifying Customer Purchasing Power Doubly Truncated ARMA-GARCH Model and MCMC Algorithms Hope it helps... Cheers!


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Someone has done it using various royalty and copyright free sources of data - see http://random.dev.openstreetmap.org/postcodes/. In my view the best is the Code-Point Opendata as it comes straight from Royal Mail. I don't think it's quite the same as the actual Royal Mail files but it's probably accurate enough. The files don't seem to be available so you ...


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Try using Bing Geocoder, I believe they do UK, so you should be able to look up the coordinates of the zip code and in the results you will see the cities that correspond globally to that zip code... P.S., Don't use google geocoder for UK, it doesn't work properly from personal experience.


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Before going to WMS I would ask yourself why you need to load all 20,000 points. Are your users able to meaningfully visualize that many points? Would you be better served displaying density of points until a specified zoom has been achieved? After that - the other answers are your best bet. Use a WMS for that much data. Edit for comment You could ...


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This is easy to remedy using Python. If you are in ArcGIS, you can simply use Python in a field calculator to strip the space from the field. The code would look something like: !post_code!.strip(" ") which will remove the space in the postal code field. You can also do this in raw Python, but you would have to read in your csv file, make the change, ...


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The US Census Bureau derives approximate boundaries for ZIP codes based on the addresses contained within them, called ZIP Code Tabulation Areas (ZCTAs). They publish relationship files that describe how their ZCTAs map to various other geographies. If you examine the ZCTA to Place relationship file you can see how they map to cities and towns. You can ...


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Mapsdata and other similar services allow you to load up Postcode and attribute data in .xls or .csv format for free and then view it on a map if that's the end product that you're looking for. Here's a wiki description of how the postal code system works using the first or first and secondary alpha characters. It's regional specific and not city, ie PH ...


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Thanks to Aragon but I found a simpler solution. I ended up using the dissolve function in QGIS. I didn't realise it was possible to do this based on a grouping value. It took a long time to process but got the job done with minimal effort. Definitely a case where learning the correct terminology probably would have gotten me to the answer faster. As a side ...


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if you are using postgis (SPIT plugin) with qgis, you can use ST_ConcaveHull function for aggregation of boundaries. i hope it helps you...


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You can create your own from: Codepoint Open https://www.ordnancesurvey.co.uk/opendatadownload/products.html Supply format: CSV Version: 11/2013 Code-Point Open provides a precise geographic location for each postcode unit in Great Britain. The product is a CSV file containing postcodes, grid references, NHS® health and regional health authority ...


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There are plenty of other answers on this, just do a search, but try http://www.richardallen.co.uk/.


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like the previous answer this is also a commercial provider: DDS digital data services GmbH, based in Karlsruhe, Germany offers postcode data for most of the world. Much of their data targets at geomarketing applications and thus offers even subunits of postalcodes. http://www.ddsgeo.com/products/postal-boundaries.html You would not get data in this level ...


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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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This is probabaly not the answer you are looking for, but here it is: You won't find them, since no one (not even the Postal Department) has Authentic Boundaries. Pin codes in India are a way of indexing Post Offices. Multiple Post Offices can have one pin code, and one Post Office can deliver to Multiple Pincodes. It's a Myth that there is such a thing ...


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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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Australia post used to give out a CSV (or was it pipe delimited) file with suburb to postcode lookup, even then some suburbs had multiple post codes and some suburbs weren't represented - the GPO postcodes, post boxes and commercial postcodes (yes, you can buy your own post code so it covers only your business). Now you actually have to purchase the data ...


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The price difference is probably due private vs public nature of the providers. I have never had an accuracy issues using government provided spatial data - census tracts etc. If price is one of your main concerns, you may wish to look into the free Canadian Postal Code centroids at http://geocoder.ca/ That being said, the red 'You haven't made it until you ...


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We've recently released free UK postcode boundaries in shapefile format for UK postcode areas, districts and sectors (reconstructed from unit postcode geocodes using Voronoi etc). They are free to use. Obviously the reconstruction is approximate. They are available at http://www.opendoorlogistics.com/data.


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I guess it very much depends on how you want to use the data and the level of accuracy required. Without the full address it is going to be difficult for you to work out which vertical street postcode to assign (if at all), but then if all you have is the street name then one could argue that you don't necessarily need to concern yourself with selecting the ...


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Not sure if this is what you had in mind, but there is a CSV file available from the Japan Post web site that has postcodes and their corresponding locations in Romaji (roman characters or English if you wish to think of it in those terms) for all of Japan. It is available from a link on this page: http://www.post.japanpost.jp/zipcode/dl/roman-zip.html There ...


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Ultimately you are still having the client load an enormous kml file with that many features. Cached WMS is your best bet. This article will show you how to set up geoserver in AWS, (assuming you will be deploying outside your network). AWS gives new users 1 year free with a micro instance. Similarly you could sign up for a free openshift account and ...


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If you qualify for the OS PSMA (Public Sector Mapping Agreement) then you can get Codepoint with polygons for free. They provide an excellent service and it's delivered the very next day. Have a google at PSMA to see if you qualify. Cheers.


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To construct a purchasing power variable, call it PPP_zip, for USA zipcode areas, the key variables could be as follows: CPI_Metro, Consumer Price Index by Metro area, source BLS Income_USA, Median income USA, source Census Income_zip, Median income by zipcode, source Census Home_Zip, Zipcode home property values Home_Metro, Metro area home property values ...


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Depending on which country you are in there may be census microdata available (e.g. PUMS in US, SARs in UK, Canada has some too I think). You may need to find some finance data too and do a statistical merge to get the variables you need. Then you can look at microsimulation methods to estimate the population at post code level (see ...



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